86 Ofertas de Neural Networks en Argentina

PhD in Diffusion Generative Modeling & Deep Learning for Medical Imaging

Concordia, Entre Ros PhDFinder

Publicado hace 11 días

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Descripción Del Trabajo

University: Concordia University

Country: Canada

Deadline: Not specified

Fields: Computer Science, Electrical Engineering, Biomedical Engineering, Medical Imaging, Artificial Intelligence

Are you passionate about leveraging artificial intelligence to revolutionize healthcare and medical diagnostics? Do you aspire to contribute to groundbreaking research at the intersection of deep learning, generative modeling, and medical imaging? If so, an exceptional opportunity awaits you at Concordia University in Montreal, where you can embark on a fully funded PhD journey under the guidance of internationally recognized experts.

About The University Or Research Institute

Concordia University, located in the vibrant city of Montreal, is one of Canada’s leading research institutions, renowned for its innovation in engineering, computer science, and interdisciplinary research. The university’s Departments of Electrical & Computer Engineering (ECE) and Computer Science & Software Engineering (CSSE) are at the forefront of technological advancement, fostering a collaborative and inclusive academic environment. Concordia’s strong ties with world-class AI centers such as Mila – Quebec AI Institute and IVADO, as well as its Applied AI Institute, provide students with unparalleled access to resources and leading industry partnerships.

Montreal itself is recognized as a global artificial intelligence hub, home to major research labs from industry giants such as Google, Meta, Microsoft, and Amazon, as well as a thriving academic community. The city is consistently ranked among the top student cities worldwide, offering a dynamic, multicultural, and welcoming atmosphere ideal for international scholars.

Research Topic and Significance

This PhD position focuses on the design and optimization of diffusion-based generative models and the development of interpretable AI systems for cancer diagnosis and explanation, specifically in the fields of radiology and pathology. The research encompasses applications involving histopathology, MRI, CT, and other advanced medical imaging modalities.

Also See

  • Fully Funded PhD in Nanotechnology and Biomedical Applications at TU Dublin
  • Fully Funded MSc/PhD Positions in Medical Robotics at the University of Calgary
  • Funded PhD and Postdoctoral Positions in Artificial Intelligence for Healthcare at ISR-Lisboa
  • PhD Opportunity in Biomedical Optics at Vrije Universiteit Amsterdam
  • Postdoctoral Opportunity in In-Silico Clinical Trials for Cardiovascular Engineering at RWTH…

The significance of this research lies in its potential to transform clinical diagnostics and patient care. By harnessing the power of deep learning and generative modeling, the project aims to create AI-driven tools that not only improve the accuracy of cancer detection but also provide transparent explanations for diagnostic decisions. This is crucial for building trust in AI systems among clinicians and patients alike, and for advancing precision medicine in oncology.

Project Details

The successful candidate will join a dynamic research environment, collaborating closely with two distinguished supervisors:

– Dr. Hassan Rivaz: Full Professor, Research Chair in Medical Imaging with Deep Learning, and leader of the IMPACT Lab. Dr. Rivaz is a recognized Rising Star in Bio-Imaging (Quebec, 2022) and brings extensive expertise in both technical innovation and translational research.

– Dr. Mahdi S. Hosseini: Gina Cody Research Chair, Assistant Professor at Concordia, Adjunct at McGill Pathology, Affiliate of Mila – Quebec AI Institute, and recipient of the Amazon Research Award (2023). Dr. Hosseini’s multidisciplinary background bridges computer science, medical imaging, and artificial intelligence.

The project is fully funded, offering a comprehensive scholarship that covers tuition and provides access to advanced computational resources. Students will benefit from collaborative opportunities with Mila, IVADO, the Applied AI Institute at Concordia, and exposure to leading industry partners in Montreal’s AI ecosystem.

Candidate Profile

Ideal applicants for this PhD position will demonstrate the following qualifications and attributes:

– BSc and MSc degrees in Computer Science, Electrical Engineering, Biomedical Engineering, or closely related fields, with a strong academic record (high CGPA).

– Prior research experience, evidenced by at least one publication (conference or journal) in deep learning, generative modeling, or medical imaging.

– Solid theoretical foundation in deep learning and hands-on experience with PyTorch, including custom deep learning model implementation.

– Demonstrated self-motivation, critical thinking, and the ability to excel in interdisciplinary and collaborative research environments.

– A passion for developing interpretable AI systems that address real-world challenges in healthcare.

The program welcomes applicants from all backgrounds and is committed to fostering an inclusive and diverse research team.

Application Process

To apply, interested candidates should send the following documents via email to hassan(dot)rivaz(at)concordia(dot)ca and mahdi(dot)hosseini(at)concordia(dot)ca with the subject line: (PhD-Diffusion AI: Your-Name)

– Cover letter (tailored to this position)

– Curriculum Vitae (CV)

– Unofficial transcripts (BSc & MSc)

Only shortlisted candidates will be contacted. The start date for this position is as early as possible in 2026. No specific application deadline has been mentioned, so early applications are encouraged.

Conclusion

If you are driven to advance the frontiers of artificial intelligence in medicine and are seeking a supportive, resource-rich environment for your doctoral studies, this opportunity at Concordia University is not to be missed. Apply now to join a world-class team and make a meaningful impact on the future of healthcare. For more opportunities like this, be sure to follow similar postings and stay connected with the latest research openings in your field.

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Fully Funded PhD in Diffusion Generative Modeling & Deep Learning for Medical Imaging

Concordia, Entre Ros PhDFinder

Publicado hace 16 días

Trabajo visto

Toque nuevamente para cerrar

Descripción Del Trabajo

University: Concordia University

Country: Canada

Deadline: Not specified

Fields: Computer Science, Electrical Engineering, Biomedical Engineering, Medical Imaging, Artificial Intelligence

Are you passionate about advancing artificial intelligence to transform healthcare and medical diagnostics? If you are driven by the prospect of developing cutting-edge deep learning models that can revolutionize medical imaging and cancer diagnosis, this fully funded PhD opportunity at Concordia University in Montreal could be the ideal next step in your academic journey.

The field of medical imaging is undergoing a transformative shift powered by artificial intelligence and generative modeling. As the demand for interpretable and robust AI tools in healthcare grows, researchers with interdisciplinary expertise are increasingly sought after. This PhD position provides an exceptional opportunity to contribute to high-impact research at the intersection of deep learning, generative modeling, and medical image analysis, under the guidance of internationally recognized experts.

About The University Or Research Institute

Concordia University, located in the vibrant city of Montreal, Canada, is renowned for its strong research culture and commitment to innovation. The university is home to leading departments such as Electrical & Computer Engineering (ECE) and Computer Science & Software Engineering (CSSE), both of which are at the forefront of technological advancement. Montreal is recognized globally as an AI hub, hosting premier institutions like Mila – Quebec AI Institute, IVADO, and the Applied AI Institute, in addition to research labs from industry giants such as Amazon, Google, Meta, and Microsoft. This rich ecosystem fosters collaboration, access to cutting-edge resources, and a thriving academic community for aspiring researchers.

Research Topic and Significance

The core focus of this PhD project is the design and optimization of diffusion-based generative models, with direct applications in medical imaging. Diffusion models represent the latest breakthrough in generative AI, offering unprecedented capabilities for synthesizing and analyzing complex data such as histopathology slides, MRI, and CT images. This research aims to develop interpretable AI models that not only enhance the accuracy of cancer diagnosis but also provide transparent explanations for clinical decision-making in radiology and pathology. The significance of this work lies in its potential to improve diagnostic precision, facilitate early detection of diseases, and support clinicians with trustworthy AI tools, thereby making a tangible impact on patient outcomes and healthcare delivery.

Also See

  • PhD in Diffusion Generative Modeling & Deep Learning for Medical Imaging
  • Fully Funded PhD Positions in AI-Driven Electronic Systems for Precision Health at UVA
  • Fully Funded PhD in Nanotechnology and Biomedical Applications at TU Dublin
  • PhD Opportunity in Signal Processing for Clinical Neuroscience at Maastricht University
  • PhD Position in Nanobiotechnology for Diagnostics at IQAC-CSIC, Barcelona

Project Details

This Fully Funded PhD Position Will Be Jointly Supervised By Dr. Hassan Rivaz, Full Professor And Research Chair In Medical Imaging With Deep Learning (IMPACT Lab), And Dr. Mahdi S. Hosseini, Gina Cody Research Chair In CSSE, Adjunct Professor At McGill Pathology, And Affiliate Member Of Mila – Quebec AI Institute. The Research Will Involve

– Designing and optimizing diffusion-based generative models for medical imaging applications.

– Developing interpretable AI systems for cancer diagnosis and explanation in radiology and pathology.

– Applying advanced deep learning techniques to a variety of medical imaging modalities, including histopathology, MRI, and CT.

The project offers access to substantial computational resources and the opportunity to collaborate within the Montreal AI ecosystem, providing an ideal environment for groundbreaking research.

Candidate Profile

This opportunity is best suited for candidates who meet the following criteria:

– Hold an excellent academic record with a high CGPA in Computer Science, Electrical Engineering, Biomedical Engineering, or related fields at both BSc and MSc levels.

– Demonstrate research experience with at least one publication (conference or journal) in deep learning, generative modeling, medical imaging, or computational pathology.

– Possess a strong understanding of deep learning theory and hands-on experience with PyTorch.

– Exhibit self-motivation, critical thinking, and the ability to work effectively in an interdisciplinary team.

A mindset oriented toward innovation and a passion for applying AI to real-world healthcare challenges will be highly valued.

Application Process

To apply, interested candidates should send the following documents to hassan(dot)rivaz(at)concordia(dot)ca and mahdi(dot)hosseini(at)concordia(dot)ca with the subject line: (PhD-Diffusion AI: Your-Name):

  • Cover Letter (tailored to this project)
  • Curriculum Vitae (CV)
  • Unofficial transcripts (BSc and MSc)

Only shortlisted candidates will be contacted for interviews.

Conclusion

If you are eager to contribute to the future of medical imaging and AI-driven healthcare, this fully funded PhD position at Concordia University offers an unparalleled research environment and mentorship. We encourage all qualified and motivated candidates to apply and take the next step in their academic and professional journey. For similar opportunities and updates, be sure to follow this page.

Want to calculate your PhD admission chances? Try it here:

the latest openings in your field and preferred country—straight to your email inbox. Sign up now for 14 days free: an independent team helping students find opportunities.

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Artificial Intelligence Architect

dLocal

Publicado hace 11 días

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Descripción Del Trabajo

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Join to apply for the Artificial Intelligence Architect role at dLocal

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Why should you join dLocal?

dLocal enables the biggest companies in the world to collect payments in 40 countries in emerging markets. Global brands rely on us to increase conversion rates and simplify payment expansion effortlessly. As both a payments processor and a merchant of record where we operate, we make it possible for our merchants to make inroads into the world’s fastest-growing, emerging markets.

By joining us you will be a part of an amazing global team that makes it all happen, in a flexible, remote-first dynamic culture with travel, health and learning benefits, among others. Being a part of dLocal means working with 1000+ teammates from 30+ different nationalities and developing an international career that impacts millions of people’s daily lives. We are builders, we never run from a challenge, we are customer-centric, and if this sounds like you, we know you will thrive in our team.

What's the Opportunity?

Join a cutting-edge team at the forefront of revolutionizing payment systems using advanced AI technology for automation and augmentation. This role offers a unique opportunity to architect, design, and oversee the implementation of AI-powered solutions within the payment industry.

As a key member of the team, you will have a direct and impactful role, potentially shaping the trajectory of the company. You'll be able to experience firsthand the substantial influence your contributions will have on our company's growth and success. This dynamic environment encourages innovation and creativity, empowering you to shape the future of payment technology.

What will I be doing?

  • Collaborate closely with cross-functional teams including data scientists, software engineers, and product managers to architect and design scalable AI systems
  • Research, evaluate, and integrate new AI technologies, frameworks, and tools to ensure we are utilizing the most innovative and recent technologies in the market
  • Oversee the deployment and maintenance of AI solutions using a stack that features Python, LLM libraries, AI third-party services, and AWS services
  • Define and implement best practices for AI system architecture, ensuring robustness, scalability, and maintainability
  • Adapt quickly and efficiently to the rapidly evolving technological landscape, ensuring our AI solutions remain cutting-edge
  • Develop a holistic vision for the application of AI, fostering and enhancing its use across the entire IT team
  • Create and promote best practices, training programs, and frameworks to facilitate rapid adoption of AI technologies by all teams


What skills do I need?

  • A Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field
  • + 7 years of experience with Python programming language, LLM frameworks (Langchain, LlamaIndex), and interactive data apps (Streamlit, Gradio)
  • Extensive experience with Docker and container orchestration
  • Proven expertise in applying scalability patterns (caching, parallelism, routing, asynchrony, decoupling, etc)
  • Deep familiarity with Architecture for LLM Applications and Prompt Engineering techniques/patterns
  • Experience with DevOps best practices, including version control (Git), infrastructure as code (IaC), and continuous integration/continuous deployment (CI/CD)
  • Extensive experience with Cloud infrastructure (AWS, Azure, or GCP)
  • Excellent problem-solving skills, critical thinking, and the ability to communicate complex technical concepts effectively
  • Desirable experience with evaluation and observability of generative AI applications
  • Fluent English proficiency is a mandatory requirement for this position


What do we offer?

Besides the tailored benefits we have for each country, dLocal will help you thrive and go that extra mile by offering you:

  • Remote work: work from anywhere or one of our offices around the globe!*
  • Flexibility: we have flexible schedules and we are driven by performance
  • Fintech industry: work in a dynamic and ever-evolving environment, with plenty to build and boost your creativity
  • Referral bonus program: our internal talents are the best recruiters - refer someone ideal for a role and get rewarded
  • Learning & development: get access to a Premium Coursera subscription
  • Language classes: we provide free English, Spanish, or Portuguese classes
  • Social budget: you'll get a monthly budget to chill out with your team (in person or remotely) and deepen your connections!
  • dLocal Houses: want to rent a house to spend one week anywhere in the world coworking with your team? We’ve got your back!
  • For people based in Montevideo (Uruguay) applying to non-IT roles, 55% monthly attendance to the office is required


What happens after you apply?

Our Talent Acquisition team is invested in creating the best candidate experience possible, so don’t worry, you will definitely hear from us. We will review your CV and keep you posted by email at every step of the process!

Also, you can check out our webpage, Linkedin, Instagram, and Youtube for more about dLocal!

Seniority level
  • Seniority level Not Applicable
Employment type
  • Employment type Full-time
Job function
  • Job function Design, Art/Creative, and Information Technology

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Artificial Intelligence Engineer

Ascendion

Publicado hace 11 días

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Descripción Del Trabajo

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Direct message the job poster from Ascendion

Ascendion is a full-service digital engineering solutions company. We make and manage software platforms and products that power growth and deliver captivating experiences to consumers and employees. Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients. Headquartered in New Jersey, our workforce of 6,000+ Ascenders delivers solutions from around the globe. Ascendion is built differently to engineer the next.

Ascendion | Engineering to elevate life

We have a culture built on opportunity, inclusion, and a spirit of partnership. Come, change the world with us:

  • Build the coolest tech for the world’s leading brands
  • Solve complex problems – and learn new skills
  • Experience the power of transforming digital engineering for Fortune 500 clients
  • Master your craft with leading training programs and hands-on experience.

Experience a community of change-makers!

Join a culture of high-performing innovators with endless ideas and a passion for tech. Our culture is the fabric of our company, and it is what makes us unique and diverse. The way we share ideas, learning, experiences, successes, and joy allows everyone to be their best at Ascendion.

*** About the Role ***

Job Title: AI Engineer

We are looking for a skilled AI Engineer to help develop, optimize, and integrate AI-driven capabilities. This role will involve working on core AI features, enhancing model performance, optimizing LLM-based workflows, and ensuring scalability and efficiency of AI deployments. You will report to our Lead AI Strategist, collaborating with cross-functional teams, including product, design, and engineering, to drive innovation and deliver cutting-edge AI solutions.

Key Responsibilities:

  • AI Model Development & Optimization: Design, fine-tune, and deploy machine learning and LLM-based models for NLP, generative AI, and automation features within Studio AI and Navigator.
  • AI Infrastructure & Deployment: Implement scalable AI pipelines using cloud-based solutions, leveraging Azure ML, Kubernetes, and distributed computing.
  • Integration & Orchestration: Work with APIs and frameworks such as LangChain, LlamaIndex, MS Graph API, and Copilot Studio to integrate AI-driven workflows into existing client systems.
  • Vector Search & Knowledge Management: Develop and enhance retrieval-augmented generation (RAG) models using vector databases like Milvus to optimize AI responses based on Lenovo’s knowledge base.
  • Real-Time AI Processing: Implement efficient architectures for real-time data processing and inferencing using microservices and API-driven AI solutions.
  • Performance & Scalability Optimization: Continuously monitor and refine AI models to improve accuracy, speed, and cost efficiency in enterprise-scale deployments.
  • Collaboration & Innovation: Work closely with the AI Strategist, software engineers, and UX teams to ensure AI solutions align with business objectives and deliver intuitive, impactful experiences.
  • Compliance & Responsible AI Practices: Ensure AI solutions adhere to Lenovo’s Responsible
  • AI governance framework, focusing on ethical AI practices, bias mitigation, and transparency.

Required Skills & Qualifications:

  • 5-10 years of experience in AI/ML development, with hands-on expertise in building and deploying machine learning models.
  • Proficiency in AI frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, and OpenAI APIs.
  • Experience with LLMs, NLP, and multimodal AI systems.
  • Strong programming skills in Python and experience with API-driven AI development.
  • Hands-on experience with Azure AI/ML services and Kubernetes for scalable AI deployments.
  • Familiarity with LangChain and LlamaIndex for LLM application development.
  • Knowledge of microservices architecture, API management, and cloud-based AI infrastructure.
  • Ability to debug, optimize, and refine AI pipelines to enhance efficiency and scalability.
  • Strong ability to work within a cross-functional team, effectively communicating technical concepts to both technical and non-technical stakeholders.

Preferred Skills & Experience:

  • Experience working with Milvus, Pinecone, or Weaviate for AI-driven knowledge retrieval.
  • Familiarity with Microsoft Copilot, Azure AI, and enterprise AI governance models.
  • Experience designing effective prompts for LLMs and working with prompt orchestration frameworks.
  • Understanding of AI-powered user experiences, including chatbot design, AI-driven search, and recommendation systems.
  • Experience with distributed computing, MLOps, and cost-efficient AI deployments.
Seniority level
  • Seniority level Mid-Senior level
Employment type
  • Employment type Contract
Job function
  • Job function Information Technology
  • Industries Technology, Information and Internet

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Artificial Intelligence, Team Leader

Dlocal Corp

Hoy

Trabajo visto

Toque nuevamente para cerrar

Descripción Del Trabajo

Why should you join dLocal?

dLocal enables the biggest companies in the world to collect payments in 40 countries in emerging markets. Global brands rely on us to increase conversion rates and simplify payment expansion effortlessly. As both a payments processor and a merchant of record where we operate, we make it possible for our merchants to make inroads into the world’s fastest-growing, emerging markets.

By joining us you will be a part of an amazing global team that makes it all happen, in a flexible, remote-first dynamic culture with travel, health and learning benefits, among others. Being a part of dLocal means working with 1000+ teammates from 30+ different nationalities and developing an international career that impacts millions of people’s daily lives. We are builders, we never run from a challenge, we are customer-centric, and if this sounds like you, we know you will thrive in our team.

What's the Opportunity?

The AI Engineering Leader has a pivotal role in our organization, responsible for guiding the team that develops enterprise-level solutions aimed at scaling and automating value-driven outcomes for our business. The leader will oversee all aspects of AI engineering, from conceptualization to deployment, ensuring the delivery of cutting-edge solutions that meet both business and technical requirements. This position requires a unique blend of technical expertise and leadership skills, as you'll be responsible for driving AI projects from conceptualization to implementation.

What Will I Be Doing?
  • Collaborating closely with both business and engineering teams to identify, define, and prioritize AI and machine learning projects.
  • Leading the quick and effective development of proofs of concept for various AI initiatives.
  • Designing, building, and deploying AI solutions using a stack that features Python, machine learning libraries, AI third-party services, and AWS services.
  • Serving as a mentor and technical leader within the team, fostering a culture of continuous learning and improvement.
  • You'll be responsible for communicating and planning between other teams.
  • You'll be responsible for hiring for your team.
  • You'll be expected to drive technical direction in projects and ensure they meet scalability and robustness requirements, involving other stakeholders when needed.
What Skills Do I Need?
  • A Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
  • Strong proficiency in Python and a deep familiarity with standard machine learning libraries.
  • Experience in applied machine learning projects.
  • Practical understanding of Large Language Models (LLMs) and Natural Language Processing (NLP).
  • Extensive hands-on experience with AWS, it is a plus to have experience in GCP.
  • Practical knowledge in building and deploying microservices.
  • Capability to integrate third-party APIs and AI services.
  • Experience with monitoring applications in production.
  • Experience with code versioning (GitHub, BitBucket, or similar).
  • Excellent written and verbal communication.
  • Enjoy writing documentation and understand why it's valuable.
  • Advanced/fluent English.
  • Be a team player.

What do we offer?

Besides the tailored benefits we have for each country, dLocal will help you thrive and go that extra mile by offering you:

- Remote work: work from anywhere or one of our offices around the globe!*

- Flexibility: we have flexible schedules and we are driven by performance.

- Fintech industry: work in a dynamic and ever-evolving environment, with plenty to build and boost your creativity.

- Referral bonus program: our internal talents are the best recruiters - refer someone ideal for a role and get rewarded.

- Learning & development: get access to a Premium Coursera subscription.

- Language classes: we provide free English, Spanish, or Portuguese classes.

- Social budget: you'll get a monthly budget to chill out with your team (in person or remotely) and deepen your connections!

- dLocal Houses: want to rent a house to spend one week anywhere in the world coworking with your team? We’ve got your back!

*For people based in Montevideo (Uruguay) applying to non-IT roles, 55% monthly attendance to the office is required

What happens after you apply?

Our Talent Acquisition team is invested in creating the best candidate experience possible, so don’t worry, you will definitely hear from us. We will review your CV and keep you posted by email at every step of the process!

Also, you can check out our webpage , Linkedin , Instagram , and Youtube for more about dLocal!

#J-18808-Ljbffr
Lo sentimos, este trabajo no está disponible en su región

Artificial Intelligence, Team Leader

dLocal

Publicado hace 11 días

Trabajo visto

Toque nuevamente para cerrar

Descripción Del Trabajo

Why should you join dLocal?

dLocal enables the biggest companies in the world to collect payments in 40 countries in emerging markets. Global brands rely on us to increase conversion rates and simplify payment expansion effortlessly. As both a payments processor and a merchant of record where we operate, we make it possible for our merchants to make inroads into the world’s fastest-growing, emerging markets.

By joining us you will be a part of an amazing global team that makes it all happen, in a flexible, remote-first dynamic culture with travel, health and learning benefits, among others. Being a part of dLocal means working with 1000+ teammates from 30+ different nationalities and developing an international career that impacts millions of people’s daily lives. We are builders, we never run from a challenge, we are customer-centric, and if this sounds like you, we know you will thrive in our team.

What's the Opportunity?

The AI Engineering Leader has a pivotal role in our organization, responsible for guiding the team that develops enterprise-level solutions aimed at scaling and automating value-driven outcomes for our business. The leader will oversee all aspects of AI engineering, from conceptualization to deployment, ensuring the delivery of cutting-edge solutions that meet both business and technical requirements. This position requires a unique blend of technical expertise and leadership skills, as you'll be responsible for driving AI projects from conceptualization to implementation.

What Will I Be Doing?

  • Collaborating closely with both business and engineering teams to identify, define, and prioritize AI and machine learning projects
  • Leading the quick and effective development of proofs of concept for various AI initiatives
  • Designing, building, and deploying AI solutions using a stack that features Python, machine learning libraries, AI third-party services, and AWS services
  • Serving as a mentor and technical leader within the team, fostering a culture of continuous learning and improvement
  • You'll be responsible for communicating and planning between other teams
  • You'll be responsible for hiring for your team
  • You'll be expected to drive technical direction in projects and ensure they meet scalability and robustness requirements, involving other stakeholders when needed


What Skills Do I Need?

  • A Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field
  • Strong proficiency in Python and a deep familiarity with standard machine learning libraries.
  • Experience in applied machine learning projects
  • Practical understanding of Large Language Models (LLMs) and Natural Language Processing (NLP)
  • Extensive hands-on experience with AWS, it is a plus to have experience in GCP
  • Practical knowledge in building and deploying microservices.
  • Capability to integrate third-party APIs and AI services
  • Experience with monitoring applications in production
  • Experience with code versioning (GitHub, BitBucket, or similar).
  • Excellent written and verbal communication.
  • Enjoy writing documentation and understand why it's valuable
  • Advanced/fluent English.
  • Be a team player.


What do we offer?

Besides the tailored benefits we have for each country, dLocal will help you thrive and go that extra mile by offering you:

  • Remote work: work from anywhere or one of our offices around the globe!*
  • Flexibility: we have flexible schedules and we are driven by performance
  • Fintech industry: work in a dynamic and ever-evolving environment, with plenty to build and boost your creativity
  • Referral bonus program: our internal talents are the best recruiters - refer someone ideal for a role and get rewarded
  • Learning & development: get access to a Premium Coursera subscription
  • Language classes: we provide free English, Spanish, or Portuguese classes
  • Social budget: you'll get a monthly budget to chill out with your team (in person or remotely) and deepen your connections!
  • dLocal Houses: want to rent a house to spend one week anywhere in the world coworking with your team? We’ve got your back!
  • For people based in Montevideo (Uruguay) applying to non-IT roles, 55% monthly attendance to the office is required


What happens after you apply?

Our Talent Acquisition team is invested in creating the best candidate experience possible, so don’t worry, you will definitely hear from us. We will review your CV and keep you posted by email at every step of the process!

Also, you can check out our webpage, Linkedin, Instagram, and Youtube for more about dLocal!

Seniority level
  • Seniority level Not Applicable
Employment type
  • Employment type Full-time
Job function
  • Job function Engineering and Information Technology

Referrals increase your chances of interviewing at dLocal by 2x

Get notified about new Manager of Artificial Intelligence jobs in Argentina .

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Artificial Intelligence, Team Leader

Dlocal Corp

Publicado hace 11 días

Trabajo visto

Toque nuevamente para cerrar

Descripción Del Trabajo

Why should you join dLocal?

dLocal enables the biggest companies in the world to collect payments in 40 countries in emerging markets. Global brands rely on us to increase conversion rates and simplify payment expansion effortlessly. As both a payments processor and a merchant of record where we operate, we make it possible for our merchants to make inroads into the world’s fastest-growing, emerging markets.

By joining us you will be a part of an amazing global team that makes it all happen, in a flexible, remote-first dynamic culture with travel, health and learning benefits, among others. Being a part of dLocal means working with 1000+ teammates from 30+ different nationalities and developing an international career that impacts millions of people’s daily lives. We are builders, we never run from a challenge, we are customer-centric, and if this sounds like you, we know you will thrive in our team.

What's the Opportunity?

The AI Engineering Leader has a pivotal role in our organization, responsible for guiding the team that develops enterprise-level solutions aimed at scaling and automating value-driven outcomes for our business. The leader will oversee all aspects of AI engineering, from conceptualization to deployment, ensuring the delivery of cutting-edge solutions that meet both business and technical requirements. This position requires a unique blend of technical expertise and leadership skills, as you'll be responsible for driving AI projects from conceptualization to implementation.


What Will I Be Doing?
  • Collaborating closely with both business and engineering teams to identify, define, and prioritize AI and machine learning projects.
  • Leading the quick and effective development of proofs of concept for various AI initiatives.
  • Designing, building, and deploying AI solutions using a stack that features Python, machine learning libraries, AI third-party services, and AWS services.
  • Serving as a mentor and technical leader within the team, fostering a culture of continuous learning and improvement.
  • You'll be responsible for communicating and planning between other teams.
  • You'll be responsible for hiring for your team.
  • You'll be expected to drive technical direction in projects and ensure they meet scalability and robustness requirements, involving other stakeholders when needed.
What Skills Do I Need?
  • A Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
  • Strong proficiency in Python and a deep familiarity with standard machine learning libraries.
  • Experience in applied machine learning projects.
  • Practical understanding of Large Language Models (LLMs) and Natural Language Processing (NLP).
  • Extensive hands-on experience with AWS, it is a plus to have experience in GCP.
  • Practical knowledge in building and deploying microservices.
  • Capability to integrate third-party APIs and AI services.
  • Experience with monitoring applications in production.
  • Experience with code versioning (GitHub, BitBucket, or similar).
  • Excellent written and verbal communication.
  • Enjoy writing documentation and understand why it's valuable.
  • Advanced/fluent English.
  • Be a team player.

What do we offer?

Besides the tailored benefits we have for each country, dLocal will help you thrive and go that extra mile by offering you:

- Remote work: work from anywhere or one of our offices around the globe!*

- Flexibility: we have flexible schedules and we are driven by performance.

- Fintech industry: work in a dynamic and ever-evolving environment, with plenty to build and boost your creativity.

- Referral bonus program: our internal talents are the best recruiters - refer someone ideal for a role and get rewarded.

- Learning & development: get access to a Premium Coursera subscription.

- Language classes: we provide free English, Spanish, or Portuguese classes.

- Social budget: you'll get a monthly budget to chill out with your team (in person or remotely) and deepen your connections!

- dLocal Houses: want to rent a house to spend one week anywhere in the world coworking with your team? We’ve got your back!

*For people based in Montevideo (Uruguay) applying to non-IT roles, 55% monthly attendance to the office is required

What happens after you apply?

Our Talent Acquisition team is invested in creating the best candidate experience possible, so don’t worry, you will definitely hear from us. We will review your CV and keep you posted by email at every step of the process!

Also, you can check out ourwebpage ,Linkedin ,Instagram , andYoutube for more about dLocal!

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Talent Pool, Senior Artificial Intelligence Engineer

dLocal

Publicado hace 11 días

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Talent Pool, Senior Artificial Intelligence Engineer

Join to apply for the Talent Pool, Senior Artificial Intelligence Engineer role at dLocal

Talent Pool, Senior Artificial Intelligence Engineer

2 months ago Be among the first 25 applicants

Join to apply for the Talent Pool, Senior Artificial Intelligence Engineer role at dLocal

Why should you join dLocal?

dLocal enables the biggest companies in the world to collect payments in 40 countries in emerging markets. Global brands rely on us to increase conversion rates and simplify payment expansion effortlessly. As both a payments processor and a merchant of record where we operate, we make it possible for our merchants to make inroads into the world’s fastest-growing, emerging markets.

By joining us you will be a part of an amazing global team that makes it all happen, in a flexible, remote-first dynamic culture with travel, health and learning benefits, among others. Being a part of dLocal means working with 1000+ teammates from 30+ different nationalities and developing an international career that impacts millions of people’s daily lives. We are builders, we never run from a challenge, we are customer-centric, and if this sounds like you, we know you will thrive in our team.

What's the Opportunity?

Join a cutting-edge team at the forefront of revolutionizing payment systems using advanced AI technology for automation and augmentation. This role offers a unique opportunity to contribute to the development, deployment and enhancement of AI-powered solutions within the payment industry. As a key member of the team, you will have a direct and impactful role, potentially shaping the trajectory of the company. You'll be able to experience firsthand the substantial influence your contributions will have on our company's growth and success. This dynamic environment encourages innovation and creativity, empowering you to shape the future of payment technology.

What Will I Be Doing?

  • Collaborate closely with cross-functional teams including data scientists, software engineers, and product managers to develop and improve scalable AI systems
  • Research, evaluate, and integrate new AI technologies, frameworks, and tools to improve payment systems' efficiency, security, and performance
  • Build and deploy AI solutions using a stack that features Python, LLM libraries, and AI third-party services and AWS services


What Skills Do I Need?

  • A Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field
  • + 5 years of experience with Python programming language, LLM frameworks (Langchain, LlamaIndex), and interactive data apps (Streamlit, Gradio)
  • Experience with Docker
  • Experience on applying scalability patterns (caching, parallelism, routing, asynchrony, decoupling, etc)
  • Familiarity with Architecture for LLM Applications and Prompt Engineering techniques/patterns
  • Experience with DevOps best practices, including version control (Git), infrastructure as code (IaC), and continuous integration/continuous deployment (CI/CD)
  • Experience with Cloud infrastructure (AWS, Azure, or GCP)
  • Excellent problem-solving skills, critical thinking, and the ability to communicate complex technical concepts effectively
  • Desirable experience with evaluation and observability of generative AI applications
  • Fluent English proficiency is a mandatory requirement for this position


What do we offer?

Besides the tailored benefits we have for each country, dLocal will help you thrive and go that extra mile by offering you:

  • Remote work: work from anywhere or one of our offices around the globe!*
  • Flexibility: we have flexible schedules and we are driven by performance
  • Fintech industry: work in a dynamic and ever-evolving environment, with plenty to build and boost your creativity
  • Referral bonus program: our internal talents are the best recruiters - refer someone ideal for a role and get rewarded
  • Learning & development: get access to a Premium Coursera subscription
  • Language classes: we provide free English, Spanish, or Portuguese classes
  • Social budget: you'll get a monthly budget to chill out with your team (in person or remotely) and deepen your connections!
  • dLocal Houses: want to rent a house to spend one week anywhere in the world coworking with your team? We’ve got your back!
  • For people based in Montevideo (Uruguay) applying to non-IT roles, 55% monthly attendance to the office is required


What happens after you apply?

Our Talent Acquisition team is invested in creating the best candidate experience possible, so don’t worry, you will definitely hear from us. We will review your CV and keep you posted by email at every step of the process!

Also, you can check out our webpage, Linkedin, Instagram, and Youtube for more about dLocal!

Seniority level
  • Seniority level Not Applicable
Employment type
  • Employment type Full-time
Job function
  • Job function Engineering and Information Technology

Referrals increase your chances of interviewing at dLocal by 2x

Sign in to set job alerts for “Artificial Intelligence Engineer” roles. Signal-Processing/Machine Learning Engineer Machine Learning/Signal-Processing Engineer Signal-Processing/Machine Learning Engineer Signal-Processing / Machine-Learning Engineer

Argentina $1,250.00-$,500.00 3 months ago

Greater Buenos Aires 24,000.00- 36,000.00 1 month ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

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Artificial Intelligence and Machine Language Data Science - Remote

Springer Capital

Publicado hace 11 días

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Artificial Intelligence and Machine Learning Data Science - Remote

Join us to apply for the Artificial Intelligence and Machine Learning Data Science - Remote role at Springer Capital .

Get AI-powered advice on this job and enjoy exclusive features.

This salary range is provided by Springer Capital. Your actual pay will depend on your skills and experience — discuss with your recruiter for more details.

Base pay range

$6,000.00/yr - $2,000.00/yr

Springer Capital specializes in raising capital and solving capital issues in the real estate private equity market. We have extensive experience raising capital across the entire spectrum. Building long-term relationships with investors and lenders is our priority, engaging with private equities, family offices, pension funds, infrastructure funds, and independent sponsors across Asia. With our expertise in the housing market, we align all parties in land acquisitions, development, improvements, sales, and lease-up.

The Role
  • Assist in developing and refining AI/ML models for business intelligence and automation.
  • Analyze real estate investment data and extract insights using data science tools.
  • Research and implement machine learning algorithms and techniques.
  • Support in building predictive models related to asset management.
  • Collaborate with team members on AI-driven automation projects.
  • Document model performance, processes, and research findings.
Ideal Profile
  • Possess an advanced degree, ideally a PhD, in Mathematics, Statistics, Computer Science, or a related field.
  • At least 1 year of experience, preferably as a Data Scientist or IT Business Analyst / Project Manager.
  • Ability to write and execute complex queries in SQL.
  • Good interpersonal and communication skills, with experience working with multiple stakeholders.
  • Strong team player capable of managing multiple stakeholders.
  • Strong analytical skills and comfort working with numerical data.
  • Adaptable and able to thrive in changing environments.
What's on Offer?
  • Opportunity within a company with a solid track record of performance.
  • Work alongside & learn from top talent.
  • Join a market leader in Real Estate.
Seniority level
  • Entry level
Employment type
  • Part-time
Job function
  • Engineering and Information Technology

Referrals can double your chances of interviewing at Springer Capital.

Get notified about new Artificial Intelligence Specialist jobs in Argentina .

Recent postings include roles in Argentina with salaries ranging from 14,400.00 to 24,000.00, and other data science and software engineering opportunities.

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EY - Especialista en Data & Artificial Intelligence en ambientes Azure

Buenos Aires, Buenos Aires Ernst & Young Advisory Services Sdn Bhd

Hoy

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Locación: Buenos Aires

Salario: Competitiva

Descripción del trabajo

ID de la Requisición: 1582257

EY es una firma global líder que ofrece servicios de Auditoría, Consultoría, Estrategia y Transacciones e Impuestos,con una red integrada por más de 400.000 profesionales en 150 paísesdel mundo.


Nuestro propósito esconstruir un mundo mejor de negociospara nuestra gente, para nuestros clientes y para nuestras comunidades. Trabajamos continuamente para mejorar la calidad de nuestros servicios, invirtiendo en nuestra gente y en innovación. Las oportunidades de crecer, tener éxito y desarrollarse en EY son ilimitadas.


EY cree en la igualdad de oportunidades y no discrimina por motivos de género, edad, estado civil, credo, identidad de género, orientación sexual, origen étnico u origen nacional, discapacidad o características físicas.


Todas nuestras oportunidades de trabajo están abiertas a personas con discapacidad y buscamos alentar a que se postulen para nuestras diferentes posiciones.En caso de necesitar algún ajuste razonable o apoyo, por favor no dejes de aclararlo en tu postulación. Acerca del área de Consultoría Tecnológica
Desde Consulting, ayudamos a las organizaciones a mantenerse a la vanguardia en el mercado a través de nuestros servicios de consultoría empresarial, tecnológica, de personas e innovación.


En Technology Consulting acompañamos a nuestros clientes en el camino a innovar y adoptar tecnología emergente, entendiendo que los datos llevan la delantera y para llegar aún más lejos, se los mejora con IA.


Los datos y la inteligencia artificial están en el centro de la transformación empresarial y son la base para tomar decisiones basadas en hechos y en tiempo real.


Responsabilidades del rol
Buscamos un/a especialista en Data e Inteligencia Artificial con conocimientos en tecnología cloud para almacenamiento y gestión de los datos. Algunas tareas alcanzadas son:


• Ejecución de diversas tareas como referente en proyectos de consultoría en Inteligencia Artificial, Data Management y Data Analytics en Azure Cloud Computing.
• Diseño de estrategias, creación de modelos, ejecución de procesos e implementación de soluciones IA vinculadas a los datos en Azure cloud.
• Realización de diagnósticos de datos en ambiente Azure cloud.
• Coordinación de tareas y de capacitación constante para consultores/as con menor experiencia en el equipo.

Requisitos más importantes
• Experiencia laboral formal de al menos 3 años en proyectos vinculados a IA, Data y cloud.
• Conocimientos avanzados en Azure Cloud Computing, Azure Analytics y Azure AI.

• Certificaciones AI102, AI900, DP100, DP300, DP203, DP420, DP600 (no excluyente).
• Formación académica vinculada a la tecnología.
• Nivel de inglés intermedio/avanzado (no excluyente).
• Disponibilidad para trabajar con modalidad híbrida.

¿Qué te ofrecemos?
• Formar parte de una de las mejores empresas para trabajar (GPTW Argentina).
• Formar parte de un equipo de trabajo altamente reconocido en el mercado y basado en las mejores prácticas.
• Modalidad de trabajo híbrido.
• Ayuda económica para quienes se mudan a Buenos Aires para trabajar en EY.
• Monto adicional mensual por conectividad/trabajo remoto.
• Programas de capacitación continua.
• Plataforma de entrenamiento virtual con más de 18.000 cursos disponibles, entre los cuales se encuentran cursos de Udemy.
• Acceso a EY Badges, programa global de certificaciones en diferentes áreas de conocimiento. EY Master in Technology, Master in Business Analytics y Master in Sustainability, innovadores programas de aprendizaje virtual en asociación con Hult International Business School.
• Capacitación en idioma inglés: política de clases semanales, open lessons gratuitas, webinars de doble impacto y libre acceso a la plataforma de aprendizaje virtual.
• Oportunidades de movilidad internacional.
• Cobertura médica privada para vos y tu grupo familiar.
• Consultorios médicos y nutricionales. Programas anuales de salud.
• Políticas de flexibilidad, licencias especiales y softlanding para personas gestante.
• Descuentos en importante red de gimnasios, comercios y universidades.
• Revisiones salariales periódicas.
• Cuatro semanas de vacaciones.
• Bono anual.
• Snacks gratuitos en la oficina.
• Envíos gratis y descuentos en aplicación de delivery. ¡Y mucho más! Siquerésver todo lo que tenemos para vos,hacéclic acá #ShapeYourFutureWithConfidence Búsqueda Laboral Equitativa | El empleador solo podrá solicitarle la información estrictamente necesaria para el desempeño en el trabajo que se ofrece. (Ley 6471/21 CABA) EY | Atracción y Adquisición de Talento
(011) 4875-4888
Luna 49, Ciudad Autónoma de Buenos Aires Instagram:
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YouTube: #ExperiencedEY

Seleccione la frecuencia (en días) para recibir una alerta:

EY se refiere a la organización global, y puede referirse a una o más de las firmas miembro de Ernst & Young Global Limited, cada una de las cuales es una entidad legal separada. Ernst & Young Global Limited, una empresa del Reino Unido limitada por garantía, no brinda servicios a los clientes.

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