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AI / ML Engineer
Build production-ready AI systems using cloud AI services, generative models, and deep learning frameworks like TensorFlow or PyTorch.
AI / ML Engineer
Build production-grade AI systems using cloud AI services, generative models, and deep learning frameworks like TensorFlow or PyTorch to solve complex business problems.
AI / ML Engineer
Design and build AI-powered applications and cloud pipelines, integrating generative AI and other models into production-ready systems.
Data Scientist Lead
Lead a team of data scientists to build AI models for retail use cases like personalization, marketing, and supply chain using Python, SQL, and cloud platforms.
Senior Data Scientist
Build statistical and ML models for healthcare analytics and pharma marketing mix modeling to optimize spend and strategy using Python, SQL, and cloud tools.
Data Scientist
Build and deploy ML models to extract insights from financial data, collaborating with engineers to productionize solutions and drive business decisions.
Applied Machine Learning Scientist II (ATH # 5215)
Validate and improve Generative AI and Deep Learning models for a large bank, using Python, PyTorch, and cloud platforms to ensure compliance and performance.
Computer Vision Software Developer, Professional II- Développeur ou Développeuse de Logiciels en Vision par Ordinateur II
Develop and optimize computer-vision algorithms into production-ready C++/Python code for embedded and mobile devices, focusing on performance and power constraints.
Principal Machine Learning Engineer
Principal ML Engineer designs, builds, and deploys production-grade AI systems using LLMs and deep learning, integrating agent workflows across GCP, AWS, and Azure.
AI / ML Engineer
Senior AI Engineer builds and operationalizes GenAI and ML solutions on GCP/Vertex AI, deploys agentic platforms, and maintains production pipelines with strong Python and cloud engineering skills.
AI / ML Engineer
Builds and automates AI/ML pipelines in Python and cloud platforms (GCP preferred), deploys GenAI models, and maintains production-grade ML workflows.
AI / ML Engineer
Design and implement AI/ML systems, including GenAI models and neural networks, to build production-ready applications and pipelines.
AI / ML Engineer
Build and deploy AI-powered applications using LLMs, cloud AI services, and deep learning frameworks like TensorFlow or PyTorch.
AI / ML Engineer
Build and deploy AI systems using Generative AI, LLMs, and deep learning; design cloud or on-prem pipelines and integrate AI models into production applications.
AI / ML Engineer
Design and build AI-driven applications using generative models, deep learning, and cloud/on-prem pipelines. Integrate LLMs, RAG, and vector databases to create production-ready solutions.
AI / ML Engineer
Build and deploy AI-powered applications using generative models, cloud AI services, and deep learning frameworks like TensorFlow or PyTorch.
AI / ML Engineer
Build and deploy AI-powered applications using LLMs, cloud AI services, and GenAI models. Design production-ready pipelines and integrate advanced AI features like chatbots and image processing.
AI / ML Engineer
Designs and builds AI-driven applications using cloud AI services, GenAI models, and UX design, ensuring production-ready, scalable systems deployed on cloud or on-prem.