183 Ofertas de Ai Development en Argentina
PhD in Diffusion Generative Modeling & Deep Learning for Medical Imaging
Publicado hace 12 días
Trabajo visto
Descripción Del Trabajo
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…
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
Publicado hace 16 días
Trabajo visto
Descripción Del Trabajo
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
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)
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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AI Developer (Generative AI & Azure OpenAI Focus)
Hoy
Trabajo visto
Descripción Del Trabajo
OZ Digital LLC
Type: Full-time
Location Type: Remote
Location: Argentina
Salary: Not disclosed
DescriptionOZ Digital is looking for an AI Developer with experience in generative artificial intelligence to join our innovative team. In this role, you will focus on designing, developing, and implementing advanced solutions using generative models, particularly leveraging Azure OpenAI to solve complex business problems.
Job DescriptionAs an AI Developer at OZ Digital, you will be responsible for creating and implementing web solutions based on generative AI, working with models such as GPT-4o, Llama, and Phi3. You will work closely with multidisciplinary teams to define requirements, analyze data, and develop solutions that utilize orchestrators like LangChain, Semantic Kernel, or LlamaIndex, using the RAG (retrieval-augmented generation) pattern to optimize the accuracy of generative responses.
Responsibilities- Generative Model Implementation: Create and implement solutions using LangChain, Semantic Kernel, LlamaIndex, and other advanced tools.
- Cloud Integration: Deploy and optimize solutions on Azure OpenAI, using services such as Prompt Flow, Azure Functions, API Management, and Azure Web App to ensure scalability and efficiency.
- RAG Application: Implement retrieval-augmented generation (RAG) patterns using AI Search, CosmosDB, or Azure SQL to enhance the accuracy and relevance of generative models.
- Interdisciplinary Collaboration: Collaborate with product, data, and technology teams to translate business challenges into AI-driven solutions.
- Model Evaluation and Improvement: Test, optimize, and continuously refine generative models in production.
AI Developer (Generative AI & Azure OpenAI Focus)
Publicado hace 12 días
Trabajo visto
Descripción Del Trabajo
OZ Digital LLC
Type: Full-time
Location Type: Remote
Location: Argentina
Salary: Not disclosed
DescriptionOZ Digital is looking for an AI Developer with experience in generative artificial intelligence to join our innovative team. In this role, you will focus on designing, developing, and implementing advanced solutions using generative models, particularly leveraging Azure OpenAI to solve complex business problems.
Job DescriptionAs an AI Developer at OZ Digital, you will be responsible for creating and implementing web solutions based on generative AI, working with models such as GPT-4o, Llama, and Phi3. You will work closely with multidisciplinary teams to define requirements, analyze data, and develop solutions that utilize orchestrators like LangChain, Semantic Kernel, or LlamaIndex, using the RAG (retrieval-augmented generation) pattern to optimize the accuracy of generative responses.
Responsibilities- Generative Model Implementation: Create and implement solutions using LangChain, Semantic Kernel, LlamaIndex, and other advanced tools.
- Cloud Integration: Deploy and optimize solutions on Azure OpenAI, using services such as Prompt Flow, Azure Functions, API Management, and Azure Web App to ensure scalability and efficiency.
- RAG Application: Implement retrieval-augmented generation (RAG) patterns using AI Search, CosmosDB, or Azure SQL to enhance the accuracy and relevance of generative models.
- Interdisciplinary Collaboration: Collaborate with product, data, and technology teams to translate business challenges into AI-driven solutions.
- Model Evaluation and Improvement: Test, optimize, and continuously refine generative models in production.
Machine Learning & AI Engineer
Publicado hace 11 días
Trabajo visto
Descripción Del Trabajo
Get AI-powered advice on this job and more exclusive features.
Our team is passionate about leveraging AI, cloud platforms, and modern development practices to build cutting-edge applications.
We are seeking a talented ML/AI Engineer to build AI tools with real users on Google Cloud Platform (GCP). The ideal candidate will have experience with Google AI tools such as Vertex AI, Contact Center AI (CCAI), and Document AI (DocAI).
Responsibilities:
- Develop and implement AI tools on GCP that are tailored for real users
- Utilize Google AI tools like Vertex AI, CCAI, and DocAI to create and optimize AI models
- Collaborate with cross-functional teams to understand user needs and translate them into technical requirements
- Conduct data preprocessing, feature engineering, and model training and evaluation
- Deploy, monitor, and maintain AI models in production environments
- Write clean, maintainable, and efficient code
- Stay up-to-date with emerging technologies and industry trends in AI and machine learning
- Proficiency in English: We require candidates to have a professional level of English proficiency, both written and spoken, to effectively communicate with international team members and clients
- Proven experience with Google AI tools such as Vertex AI, CCAI, and DocAI
- Strong understanding of machine learning and AI concepts
- Proficiency in Python and relevant ML/AI libraries (e.g., TensorFlow, scikit-learn)
- Experience with data preprocessing, feature engineering, and model evaluation
- Excellent problem-solving skills and attention to detail
- Ability to work independently and as part of a team
- Bachelor's degree in Computer Science, Engineering, or a related field
- Experience with other AI/ML platforms and tools
- Previous experience in a similar role
- Knowledge of best practices in deploying and maintaining AI models in production environments
- Remote Work and Flexibility: We offer the option to work remotely, providing you with the flexibility to manage your time and achieve a healthy work-life balance. If you prefer, you can also choose to work from our office in Montevideo according to your preferences
- Training and Development: We encourage professional growth and continuous learning. We provide unlimited access to an educational platform, internal courses, and training opportunities, allowing you to enhance your skills and stay updated on the latest technologies and trends
- Seniority level Mid-Senior level
- Employment type Full-time
- Job function Engineering and Information Technology
- Industries IT Services and IT Consulting
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#J-18808-LjbffrAI Engineer
Hoy
Trabajo visto
Descripción Del Trabajo
En Taligent, nos guiamos por la innovación constante, la integridad y la transparencia. Comprometidos con la excelencia, fomentamos el crecimiento colaborativo y promovemos iniciativas. Nuestra cultura se centra en el aprendizaje continuo, la pasión por el cliente y la agilidad, creando un entorno donde la calidad y la adaptabilidad son fundamentales para alcanzar nuestras metas y liderar el futuro tecnológico.
Propuesta de trabajoEstamos buscando un AI Engineer para unirse a nuestro equipo y participar en el diseño e implementación de soluciones de IA Generativa . Este profesional será responsable de utilizar herramientas como LangChain, LangGraph, y LangSmith, así como modelos avanzados como GPT y Llama , para construir soluciones innovadoras. Su rol incluirá el diseño de pipelines escalables con Python y Docker , optimizando su despliegue e integración en entornos cloud. Además, debe ser experto en procesamiento de datos y en la personalización de agentes mediante técnicas avanzadas de machine learning. El AI Engineer tendrá como objetivo transformar datos en soluciones tecnológicas que generen valor tangible para el negocio.
¿Cuáles serán tus responsabilidades?- Desarrollo de aplicaciones tipo RAG utilizando Python.
- Construir y personalizar agentes de lenguaje utilizando frameworks como Langchain, Langgraph, y Langsmith, integrando modelos como GPT y Llama.
- Análisis, limpieza y preprocesamiento de los datos.
- Feature engineering.
- Desarrollo de modelos de Machine Learning en Python.
- Visualizaciones con herramientas de BI o librerías de Python.
- Priorizar el uso de estándares y evitar malas prácticas (código y modelos).
- Entendimiento del pipeline de un proyecto (desde la extracción de datos hasta la implementación de un algoritmo en producción).
- Comunicación de manera clara de los resultados de una solución, traduciendo lo técnico para presentar los resultados a negocio.
Experiencia en soluciones con inteligencia artificial generativa, utilizando modelos como GPT o Llama , frameworks como Langchain y su ecosistema (LangGraph y LangSmith), bases de datos vectoriales , y técnicas de testeo de este tipo de soluciones.
Conocimientos y experiencia en el desarrollo de proyectos con Python , BBDDs (SQL y noSQL), Sistemas de control de versiones (GitHub, GitLab), herramientas de BI o librerías de Python para desarrollar visualizaciones.
Valoraremos conocimientos y experiencia con Databricks . Es un plus experiencia con plataformas cloud: AWS, GCP, Azure, IBM .
Beneficios que vas a recibir Modalidad de trabajo híbrida
Beneficio por conectividad
Capacitación y certificaciones a cargo de la empresa
Prepaga de primer nivel
Día del cumple free
Plan de carrera personalizado | Capacitación constante
Kit de Bienvenida
Clases de Inglés In-House
Convenio con Unilever - Club de Beneficios
Descuentos en capacitaciones en Coderhouse
AI Engineer
Publicado hace 6 días
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2 days ago Be among the first 25 applicants
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We are looking for an AI Engineer with expertise in Agentic AI, LLMs, and Prompt Engineering to help design advanced solutions for tax compliance workflows.
Join our dynamic team to create impactful, intelligent systems that transform real-world applications.
Responsibilities
- Design effective AI agents using Large Language Models tailored for tax compliance automation
- Implement backend systems and solutions using Python to support scalable AI workflows
- Develop precise and impactful prompts to enhance AI-driven decision-making
- Collaborate closely with teams across Product, Data Science, and Engineering to align goals and solutions
- Prototype innovative uses of Agentic AI to continuously improve compliance solutions
- Communicate insights and architecture decisions to technical and business stakeholders effectively
- At least 2 years of experience working with AI Agents, LLMs, and related automation technologies
- Background in Python programming with a focus on scalability and performance optimization
- Familiarity with Agentic Process Automation frameworks like Automation Anywhere
- Understanding of enterprise contexts, particularly solutions designed for compliance workflows
- Knowledge of designing AI prompts and implementing patterns for predictable agent behavior
- International projects with top brands
- Work with global teams of highly skilled, diverse peers
- Healthcare benefits
- Employee financial programs
- Paid time off and sick leave
- Upskilling, reskilling and certification courses
- Unlimited access to the LinkedIn Learning library and 22,000+ courses
- Global career opportunities
- Volunteer and community involvement opportunities
- EPAM Employee Groups
- Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn
- Seniority level Associate
- Employment type Full-time
- Job function Engineering, Information Technology, and Research
- Industries Software Development, IT Services and IT Consulting, and Venture Capital and Private Equity Principals
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Sign in to set job alerts for “Artificial Intelligence Engineer” roles. Junior Data Scientist for an E-commerce Company (US-Based/Remote)Latin America $1,500.00-$,000.00 3 weeks ago
DS2 Data Scientist (Full-time & USD salary)Greater Buenos Aires 30,000.00- 45,000.00 1 month ago
Artificial Intelligence Full Stack EngineerArgentina 18,000.00- 36,000.00 1 month ago
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AI Engineer
Publicado hace 12 días
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Descripción Del Trabajo
Join to apply for the AI Engineer role at Siena AI
5 days ago Be among the first 25 applicants
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About SienaSiena is building enterprise empathic AI Agents powered by reasoning-adept LLMs. Siena is the first AI Agent of its kind, designed to integrate with existing systems and interact with customers across multiple channels from a single, unified platform.
If you're excited about the intersection of human-to-machine communication and want to be part of a team driving innovation and making a real impact in automating agentic workflows, join us on our mission to revolutionize customer experience through empathetic AI.
Our AI-First PhilosophyAt Siena, AI isn't just a tool—it’s embedded in our DNA. We believe that leveraging AI-first workflows empowers individuals to work smarter, faster, and more creatively. Our team embraces AI-powered augmentation in everything we do, from research to execution, making us more efficient and innovative every day.
About The RoleWe're looking for an AI Engineer to join our growing AI team. Your mission will be to use the power of Large Language Models (LLMs) and other AI technologies to enhance Siena AI's products. This role is ideal for someone passionate about exploring ML technology and applying innovations practically and impactfully.
What You’ll Achieve- Lead development and experimentation of new AI features.
- Integrate and deploy new AI technologies into our core product to improve customer service solutions.
- Collaborate with cross-functional teams to ensure timely delivery of AI-driven features.
- Stay updated with the latest in AI, especially LLMs, to keep Siena AI at the forefront.
- 3+ years of experience in building AI products with LLMs, embeddings, or similar ML NLP technologies. Eagerness to learn and share knowledge.
- Holistic problem-solving skills, considering broader impacts and translating complex problems into business solutions.
- Effective communication skills for conveying technical ideas and collaborating with diverse teams.
- User-centric approach, prioritizing projects based on business impact and real-world relevance.
- Familiarity with tech stack (React, TypeScript, Node.js, Postgres) or similar technologies.
- Experience with data pipeline tools like Spark, DBT.
- Understanding of system architecture from UI to data models.
- Interest or background in non-technical fields, valuing diverse perspectives.
We value diversity and welcome applicants from all backgrounds. If you're passionate about AI and eager to contribute to impactful work, we'd love to hear from you—even if your experience isn't a perfect match for every point.
Why Join Us- Make a real impact on our product and company.
- Have a voice in a small, collaborative team.
- Work remotely or from anywhere that boosts your productivity.
- Competitive salary plus equity or stock options.
- Flexible time off, starting with at least 15 days.
- Learning budget for your growth.
- Be part of building innovative AI solutions.
- Work on meaningful challenges that redefine work through AI.
- Curiosity and creativity
- Customer empathy
- Resilience
- Ownership and autonomy
- Relationships and trust
- Craftsmanship and speed
- Openness and honesty in feedback
We provide tools and a culture that encourages AI experimentation, including:
- Perplexity Pro, ChatGPT Pro, Claude Pro accounts
- Quarterly AI tool budgets
- An environment that fosters AI innovation
Siena is committed to equal employment opportunities and values diversity in our team.
#J-18808-LjbffrAI Engineer
Publicado hace 12 días
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Descripción Del Trabajo
Pomelo Buenos Aires, Buenos Aires Province, Argentina
Pomelo Buenos Aires, Buenos Aires Province, Argentina
Somos líderes en tecnología financiera para la emisión, procesamiento y gestión del negocio de tarjetas en América Latina.
Creamos infraestructura financiera de clase mundial que permite a cualquier empresa lanzar tarjetas de crédito, débito o prepago de manera ágil, rápida y con los más altos estándares de seguridad.
Con una integración sencilla a través de APIs y tecnología totalmente en la nube, nuestros clientes pueden migrar su infraestructura antigua, como también lanzar y expandir su negocio a toda la región
Sumate al equipo de +250 personas que está revolucionando el ecosistema financiero en LATAM. A lo largo de este 2025 seguiremos creciendo, ¡tenemos muchas posiciones abiertas! Si tenés ganas de sumarte al team y ser un pomeler, ¡conocé todas las oportunidades que tenemos!
En Pomelo estamos buscando a una persona con mentalidad builder , obsesionada por la eficiencia, la automatización y la creación de nuevos productos apalancados en inteligencia artificial.
Vas a sumarte a un equipo que combina tecnología, diseño de procesos e impacto de negocio para construir soluciones reales con IA, desde prototipos hasta features productivos.
¿Qué desafíos te esperan?
- Diseñar e implementar soluciones usando IA generativa, agentes y herramientas no-code.
- Crear features completos o productos internos/externos basados en LLMs.
- Automatizar flujos inter-área usando herramientas como Make, N8N y MCPs.
- Trabajar codo a codo con equipos de Producto, Tech, Legal, Customer Ops, etc.
- Usar herramientas como Cursor, JetBrains AI, y otras plataformas AI-powered.
- Probar y evolucionar prompts avanzados para LLMs como GPT-4o y Claude.
- Mantenerse actualizado con las últimas tendencias de AI y evaluar su aplicación en Pomelo.
- Experiencia previa construyendo soluciones con IA generativa (ChatGPT, Claude, etc.).
- Dominio de prompt engineering avanzado.
- Muy buen manejo de herramientas no-code / low-code: Make, N8N, Airtable, etc.
- Experiencia en diseño de agentes autónomos / flujos inter-área.
- Conocimiento técnico para entender APIs, integraciones, estructuras de datos.
- Capacidad de trabajar de forma autónoma y de liderar soluciones punta a punta.
- Mentalidad creativa, experimental, iterativa.
- (Deseable) Experiencia en desarrollo de producto o startups.
- Una Fintech regional de rápido crecimiento, que cuenta con el apoyo de inversores líderes y fundadores de grandes empresas tech y unicornios.
- Un equipo colaborativo, apasionado y de alta performance.
- Tu espacio para generar impacto y para crecer junto a equipos con una calidad humana increíble.
- La posibilidad de ser vos Elegimos a las personas por sus cualidades únicas porque también nos hacen únicos como equipo y nos ayudan a crecer.
- Innovación que lidera: Somos una empresa referente en tecnología y evolución constante.
- Colaboración regional: Trabajamos junto a personas talentosas de toda Latinoamérica, compartiendo desafíos y aprendizajes.
- Impacto real : Tu trabajo tiene efecto tangible en toda la región y en una industria dinámica y desafiante.
- Cultura de "aprender haciendo": Acá el crecimiento es práctico, aprendés mientras creás impacto.
- Flexibilidad auténtica: Apostamos a un modelo híbrido, donde elegís tu mejor forma de trabajar, y cuando nos encontramos, potenciamos grandes ideas juntos.
Comuna 1, Buenos Aires Province, Argentina 4 months ago
Greater Buenos Aires $2,700.00-$4,000.00 1 week ago
Comuna 1, Buenos Aires Province, Argentina 2 months ago
Buenos Aires, Buenos Aires Province, Argentina 1 month ago
#J-18808-LjbffrAI Engineer
Publicado hace 12 días
Trabajo visto
Descripción Del Trabajo
En Taligent, nos guiamos por la innovación constante, la integridad y la transparencia. Comprometidos con la excelencia, fomentamos el crecimiento colaborativo y promovemos iniciativas. Nuestra cultura se centra en el aprendizaje continuo, la pasión por el cliente y la agilidad, creando un entorno donde la calidad y la adaptabilidad son fundamentales para alcanzar nuestras metas y liderar el futuro tecnológico.
Propuesta de trabajoEstamos buscando un AI Engineer para unirse a nuestro equipo y participar en el diseño e implementación de soluciones de IA Generativa . Este profesional será responsable de utilizar herramientas como LangChain, LangGraph, y LangSmith, así como modelos avanzados como GPT y Llama , para construir soluciones innovadoras. Su rol incluirá el diseño de pipelines escalables con Python y Docker , optimizando su despliegue e integración en entornos cloud. Además, debe ser experto en procesamiento de datos y en la personalización de agentes mediante técnicas avanzadas de machine learning. El AI Engineer tendrá como objetivo transformar datos en soluciones tecnológicas que generen valor tangible para el negocio.
¿Cuáles serán tus responsabilidades?- Desarrollo de aplicaciones tipo RAG utilizando Python.
- Construir y personalizar agentes de lenguaje utilizando frameworks como Langchain, Langgraph, y Langsmith, integrando modelos como GPT y Llama.
- Análisis, limpieza y preprocesamiento de los datos.
- Feature engineering.
- Desarrollo de modelos de Machine Learning en Python.
- Visualizaciones con herramientas de BI o librerías de Python.
- Priorizar el uso de estándares y evitar malas prácticas (código y modelos).
- Entendimiento del pipeline de un proyecto (desde la extracción de datos hasta la implementación de un algoritmo en producción).
- Comunicación de manera clara de los resultados de una solución, traduciendo lo técnico para presentar los resultados a negocio.
Experiencia en soluciones con inteligencia artificial generativa, utilizando modelos como GPT o Llama , frameworks como Langchain y su ecosistema (LangGraph y LangSmith), bases de datos vectoriales , y técnicas de testeo de este tipo de soluciones.
Conocimientos y experiencia en el desarrollo de proyectos con Python , BBDDs (SQL y noSQL), Sistemas de control de versiones (GitHub, GitLab), herramientas de BI o librerías de Python para desarrollar visualizaciones.
Valoraremos conocimientos y experiencia con Databricks . Es un plus experiencia con plataformas cloud: AWS, GCP, Azure, IBM .
Beneficios que vas a recibirModalidad de trabajo híbrida
Beneficio por conectividad
Capacitación y certificaciones a cargo de la empresa
Prepaga de primer nivel
Día del cumple free
Plan de carrera personalizado | Capacitación constante
Kit de Bienvenida
Clases de Inglés In-House
Convenio con Unilever - Club de Beneficios
Descuentos en capacitaciones en Coderhouse