65 Ofertas de Desarrollador Ia 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.
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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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Desarrollador Python + Conocimientos en IA
Publicado hace 12 días
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Descripción Del Trabajo
Únete para postularte al rol de Desarrollador Python + Conocimientos en IA en C&S Informática .
Acerca de C&SSomos una empresa con más de 160 profesionales, consolidada hace 38 años en el mercado. Nuestro propósito es garantizar la satisfacción de nuestros clientes mediante servicios de Desarrollo de Software, Talent Outsourcing y Consultoría IT. Contamos con certificación ISO 9001 y sedes en Buenos Aires, Argentina, y Santiago de Chile.
PosiciónBuscamos candidatos/as para la posición de Programador Python - Semi Senior/Senior.
Modalidad de trabajoEsquema híbrido para residentes de AMBA; remoto para candidatos del interior.
HorarioDe 9 a 18 horas.
Descripción de tareasIntegrar un equipo interdisciplinario dedicado a la automatización de procesos y desarrollo de herramientas de innovación con IA y Metaverso.
Requisitos indispensables- Mínimo 3 años de experiencia en desarrollo fullstack Python
- Frameworks Flask / Fast API
- Conocimiento en requests
- Langchain
- Bases de datos
- Patrones de diseño y desarrollo orientado a objetos
- Conocimientos en IA generativa y machine learning
- Experiencia con servicios en la nube, preferentemente Azure
- Metodologías ágiles
- Diseño UX/UI
- Inglés avanzado
- Cobertura médica (Redirección de aporte)
- Cuatro revisiones anuales de sueldo
- Descuentos en universidades, centros educativos y más
- Bono de cumpleaños
- Bono para internet y gastos del hogar
- Equipo para trabajar desde casa
- Kit de bienvenida
Si buscas un lugar para crecer profesionalmente y tu perfil coincide con lo mencionado, envíanos tu CV.
#J-18808-LjbffrMachine Learning
Hoy
Trabajo visto
Descripción Del Trabajo
Join Howdy to discover a new way of working remotely
At Howdy, we connect top Latin American talent with leading US companies. Unlike other online marketplaces and job platforms, we're a community that cares about people. Our whole ethos is people-first.
What's so different about us?
- We're driven by your well-being: We prioritize your growth and well-being with competitive pay, top-tier equipment, and premium healthcare.
- We're all about direct connections: Work directly with US companies as part of their teams, with no middleman. Build strong relationships and grow professionally.
- We combine the best of both worlds: Enjoy the freedom to work from home with flexible hours - and come to the office whenever you want!
- We care about career growth: Lead teams, apply for management roles, and even pitch to investors! Your growth is our priority.
- We foster a strong community: Get paid, of course. But also, be a part of a welcoming community. Avoid monotony, enjoy your work, and connect with other A-players!
From top tech roles to accounting, marketing, customer support, finance, HR, and operations - we've got opportunities for everyone.
Transform your career with Howdy. Apply today and join us in revolutionizing remote work!
MACHINE LEARNING ENGINEER:
Desired Skills:
- English at an advanced level.
- +5 years of experience building modern web applications.
- +5 years of experience developing with Python, Ruby on Rails and/or Golang.
- +3 years of exp in Machine Learning Engineering with recent emphasis on NLU/NLP and LLMs.
- Strong experience in data-centric backend development, ETL processes and RAG models.
Plus Experience:
- Experience with Generative AI.
- Experience with React.JS.
- Experience with PostgreSQL and SQL.
- Experience with ChatGPT APIs, Copilot and/or Anthropic.
Who you are:
- You are a motivated and self-directed engineer who wants to deliver real business value
- You help your team and peers align to the company vision and mission
- You consistently leave code and projects better than you found them
Some benefits:
- Offices in some cities
- ️ 100% remote work
- Full-time schedule, flexible according to objectives
- ️PTO & holidays
- ️Medical insurance
Machine Learning
Publicado hace 5 días
Trabajo visto
Descripción Del Trabajo
Join Howdy to discover a new way of working remotely
At Howdy, we connect top Latin American talent with leading US companies. Unlike other online marketplaces and job platforms, we're a community that cares about people. Our whole ethos is people-first.
What's so different about us?
- We're driven by your well-being: We prioritize your growth and well-being with competitive pay, top-tier equipment, and premium healthcare.
- We're all about direct connections: Work directly with US companies as part of their teams, with no middleman. Build strong relationships and grow professionally.
- We combine the best of both worlds: Enjoy the freedom to work from home with flexible hours - and come to the office whenever you want!
- We care about career growth: Lead teams, apply for management roles, and even pitch to investors! Your growth is our priority.
- We foster a strong community: Get paid, of course. But also, be a part of a welcoming community. Avoid monotony, enjoy your work, and connect with other A-players!
From top tech roles to accounting, marketing, customer support, finance, HR, and operations - we've got opportunities for everyone.
Transform your career with Howdy. Apply today and join us in revolutionizing remote work!
MACHINE LEARNING ENGINEER:
Desired Skills:
- English at an advanced level.
- +5 years of experience building modern web applications.
- +5 years of experience developing with Python, Ruby on Rails and/or Golang.
- +3 years of exp in Machine Learning Engineering with recent emphasis on NLU/NLP and LLMs.
- Strong experience in data-centric backend development, ETL processes and RAG models.
Plus Experience:
- Experience with Generative AI.
- Experience with React.JS.
- Experience with PostgreSQL and SQL.
- Experience with ChatGPT APIs, Copilot and/or Anthropic.
Who you are:
- You are a motivated and self-directed engineer who wants to deliver real business value
- You help your team and peers align to the company vision and mission
- You consistently leave code and projects better than you found them
Some benefits:
- Offices in some cities
- ️ 100% remote work
- Full-time schedule, flexible according to objectives
- ️PTO & holidays
- ️Medical insurance
Desarrollador/a con experiencia en IA
Hoy
Trabajo visto
Descripción Del Trabajo
¿Tenés conocimientos en desarrollo y querés enfocarte en proyectos con Inteligencia Artificial? Este desafío puede ser tu próxima gran oportunidad.
Sumate a una consultora con foco en IA que trabaja con clientes de diferentes industrias. Buscamos desarrolladores/as con ganas de aplicar sus conocimientos en proyectos innovadores y soluciones reales.
Vas a trabajar en:- Integración de herramientas y modelos de IA en soluciones tecnológicas.
- Desarrollo en backend y frontend de aplicaciones con foco en IA.
- Diseño e implementación de soluciones técnicas escalables.
- Trabajo en equipo junto a líderes técnicos y desarrolladores senior.
- Buen manejo de Node.js y/o Python .
- Experiencia con SQL Server y/o MongoDB .
- Conocimientos en ReactJS o VueJS .
- Experiencia o interés en trabajar con herramientas de IA como ChatGPT, OpenAI o Gemini .
- Valoramos si conocés Docker, Google Cloud, arquitectura de servidores, etc.
La empresa Ofrece proyectos desafiantes, equipo colaborativo, autonomía real y modalidad 100% remota .
Sumate a crear soluciones con impacto.
Condiciones de contratación en base a experiencia y conocimientos.
Nivel mínimo de educación: Universitario (Indistinto)
Sé parte de una consultora tecnológica que lidera proyectos reales con inteligencia artificial para clientes de múltiples industrias.
Tecnologías y Áreas de Especialización- IA explicable (XAI)
- Deep Learning
- Machine Learning
- Inteligencia Predictiva
- Automatización Inteligente (RPA + IA generativa)
- Edge Computing para procesamiento en tiempo real
- Blockchain para trazabilidad
- AR/VR para capacitación inmersiva
Desarrollador Python Semi Senior (con IA)
Publicado hace 12 días
Trabajo visto
Descripción Del Trabajo
Join to apply for the Desarrollador Python Semi Senior (con IA) role at C&S Informática .
Sobre C&S
Somos una empresa líder de tecnología con más de 38 años de presencia en el mercado IT. Brindamos soluciones a organizaciones que buscan aumentar su productividad y eficiencia, construyendo relaciones de honestidad y transparencia tanto con nuestros clientes como con nuestro equipo de trabajo, con quienes compartimos y valoramos la pasión por la tecnología.
Buscamos un Desarrollador Python Semi Senior/Senior para integrar un equipo interdisciplinario enfocado en la automatización de procesos y el desarrollo de herramientas innovadoras con IA y Metaverso.
Skills Mandatorios- Mínimo 3 años de experiencia como desarrollador fullstack Python.
- Dominio de Flask/Fast API y manejo de requests.
- Conocimiento en Langchain y bases de datos.
- Experiencia en patrones de diseño y desarrollo orientado a objetos.
- Conocimientos en IA generativa y machine learning.
- Manejo de servicios en la nube, preferentemente Azure.
- Conocimientos en Metodologías Ágiles.
- Experiencia en Diseño UX/UI.
Idioma: Inglés avanzado (no excluyente)
Modalidad de Trabajo: 95% Remoto
Lugar de Trabajo: 24 de Noviembre 2120, Parque Patricios, Buenos Aires
Horario de Trabajo: 9 a 18 hs.
Beneficios- Cuatro aumentos durante el año.
- Acceso a plataforma UDEMY gratuita.
- Descuentos en instituciones académicas.
- Posiciones híbridas y/o 100% remotas.
- Bono de gastos (Internet, luz).
- Licencia por paternidad.
- Bono escolaridad para hijos menores.
- Kit de bienvenida.
- Cuponera de descuentos.
- Redirección de aportes.
- Senioridad: No aplica
- Tipo de empleo: Tiempo completo
- Función laboral: Ingeniería y Tecnología de la Información
Este anuncio está activo y no indica que la oferta esté expirado.
#J-18808-LjbffrSé el primero en saberlo
Acerca de lo último Desarrollador ia Empleos en Argentina !
Machine Learning Engineer
Hoy
Trabajo visto
Descripción Del Trabajo
Buscamos un/a profesional apasionado/a por la inteligencia artificial y con experiencia en proyectos innovadores de Generative AI. Si tenés conocimientos en desarrollo y automatización de soluciones basadas en Machine Learning y disfrutás trabajando con tecnologías de última generación, ¡esta oportunidad es para vos!
Responsabilidades:- Participar en el desarrollo e implementación de soluciones de Machine Learning y Generative AI.
- Desarrollar aplicaciones utilizando Python como lenguaje principal.
- Automatizar procesos para optimizar tareas y mejorar la eficiencia.
- Colaborar en proyectos que integren servicios avanzados como APIs y plataformas en la nube.
- Experiencia demostrable en proyectos de Generative AI.
- Buen nivel de desarrollo en Python.
- Experiencia en implementación de soluciones de ML y/o GenAI.
- Experiencia en automatización de procesos.
- Experiencia con Azure OpenAI Services.
- Experiencia con Llama 3.2.
- Experiencia en desarrollo de APIs.
- Nociones de DevOps.
Machine Learning Engineer
Hoy
Trabajo visto
Descripción Del Trabajo
Join Our Data Products and Machine Learning Development Remote Startup!
Mutt Data is a dynamic startup committed to crafting innovative systems using cutting-edge Big Data and Machine Learning technologies.
We’re looking for a Machine Learning Engineer to help take our expertise to the next level. If you consider yourself a data nerd like us, we’d love to connect!
What We Do:
- Leveraging our expertise, we build modern Machine Learning systems for demand planning and budget forecasting.
- Developing scalable data infrastructures, we enhance high-level decision-making, tailored to each client.
- Offering comprehensive Data Engineering and custom AI solutions, we optimize cloud-based systems.
- Using Generative AI, we help e-commerce platforms and retailers create higher-quality ads, faster.
Our Partnerships:
- Amazon Web Services
- Google Cloud
- Astronomer
- Kaszek
- Product Minds
- H2O.ai
- Soda
Our values:
- We are Data Nerds
- We are Open Team Players
- We Take Ownership
- We Have a Positive Mindset
Curious about what we’re up to? Check out our case studies and dive into our blog post to learn more about our culture and the exciting projects we’re working on!
Responsibilities:
- Lead Model Productization: Implement MLOps practices for model deployment (orchestration, monitoring, testing).
- ML POC Development: Collaborate on ML Proof of Concepts for internal and client projects.
- Model Lifecycle Management: Optimize ML models for performance, memory, and throughput.
- Translate Business Needs: Convert business requirements into technical solutions, balancing trade-offs.
- Stay Ahead: Research new ML tools and techniques to enhance our systems.
- Bridge DS & DE: Connect Data Science and Engineering teams for smooth application development.
- Plan Projects: Help define project timelines and estimates.
- Share Knowledge: Document and share best practices across teams.
- Support Hiring: Participate in technical interviews and evaluations.
- Safeguard information security, ensuring responsible data usage and compliance with best practices for protection and confidentiality.
We don’t expect you to check every box, but here’s what we’re looking for:
Required Skills:
- Proven Experience: Experience as ML Engineer
- AI/ML Expertise: Solid understanding of ML models, deep learning, and statistical analysis.
- Tech Stack Know-How: Experience with MLOps tools (Airflow, MLflow, DBT) and cloud services (AWS, GCP).
- Programming Skills: Strong in Python and at least one other language.
- MLOps: Experience managing model lifecycles and setting up CI/CD pipelines.
- Collaboration: Team player with strong communication skills.
- Languages: Intermediate English, Advanced Spanish.
Nice to Have:
- Modern Data Stack: Familiar with tools like Kafka, DuckDB, Apache Pinot.
- Cloud AI Services: Hands-on with AWS Sagemaker, GCP Vertex AI.
- Software Development: Experience with software engineering practices.
- Problem-Solver: Positive, proactive attitude towards challenges.
- Consulting Experience: Worked in client-facing roles.
- Cloud Certifications: AWS, GCP, or related certifications.
- Python Libraries: Experience with libraries like SQLAlchemy, Great Expectations.
Why Join Us?
At Mutt Data, we offer a remote-first culture with flexibility, autonomy, and awesome benefits:
- Salary in USD (up to 20% bonus).
- Remote-First Culture
- ️️ Gympass or sport club stipend.
- Paid AWS & Databricks Certifications.
- Food credits via Pedidos Ya.
- Birthday off + extra vacation week ( Mutt Week! ).
- Referral bonuses to grow our team.
- ️ Annual Mutters' Trip – Join us for an unforgettable team trip!
Even if you don’t meet every requirement, we’d love to hear from you! Let us know why you think Mutt Data is the next step in your journey.
Apply now and join a team that’s shaping the future of Machine Learning and Data Engineering.
#J-18808-LjbffrMachine Learning Engineer
Hoy
Trabajo visto
Descripción Del Trabajo
Title: Machine Learning Engineer
Job Type: Full-Time
Location: Remote - Any Location
Company Description:
Mechanized AI is at the forefront of AI innovation, leveraging cutting-edge technology to transform legacy systems into modern, efficient, and scalable solutions. We work with enterprise clients to breathe life into their existing software, ensuring that they can meet the demands of today’s fast-paced, digital landscape. Our team thrives on solving complex challenges and delivering innovative solutions. As an organization, we are committed to fostering an environment that encourages creativity, collaboration, and continuous learning.
Job Summary:
We are seeking an experienced Machine Learning Engineer to join our growing team.
The ideal candidate will have a background in Machine Learning (ML) with at least four years of experience outside of academia. They must be passionate about AI and stay up to date with the latest developments in the field.
Key Responsibilities:
- Contribute to building and enhancing our Mechanized AI platform and AI-enabled products including mAI Modernize
- Serve as ML SME on client projects as needed
- Design ML systems
- Research and implement appropriate ML algorithms and tools
- Select appropriate datasets and data representation methods
- Run ML tests and experiments
- Perform statistical analysis and fine-tuning using test results
- Train and retrain systems when necessary
- Extend existing ML libraries and frameworks
- Stay current with emerging technologies and ML best practices to continuously improve our methodologies and tools
Required Skills & Experience:
- 4+ years of ML experience at a start-up or larger enterprise – high priority
- 6+ months of experience with Large Language Models (LLMs) and Generative AI (GenAI) applications – high priority
- Client delivery experience – high priority
- Effective written and oral communications skills (C1/C2 - advanced/proficient level English is required) – high priority
- Bachelor’s degree in computer science, software engineering or related field
- Experience with cloud environments (e.g., AWS, Azure, GCP)
- Experience with ML frameworks and libraries (TensorFlow, PyTorch, Keras, scikit-learn)
- Experience developing, deploying, and managing/monitoring models
- Knowledge of containerization technologies (e.g., Docker, Kubernetes) and microservices architecture
- Expertise in Object-Oriented Programming (OOP) principles and unit test-driven development methodologies
- Advanced experience in NLP techniques and applications
- Strong proficiency in Python programming
- Familiarity with prompt engineering approaches and best practices
- Knowledge of data structures, data modeling, and software architecture
- Strong analytical and problem-solving skills, with ability to propose innovative solutions and troubleshoot issues
- Ability to work independently and as part of a collaborative team in a fast-paced environment
Preferred Qualifications:
Experience in any of the following:
- Agent development
- Data privacy
- Fine tuning LLMs
- LLM architecture and techniques for performance
- MLOps
- ML evaluation
- Model decay and data drift detection and handling
- Pulumi, Terraform and/or Cloud SDKs
- PySpark
- Quantization
- Retrieval-augmented generation (RAG) optimization
- Security
- Vector databases