Applied AI ML Senior Associate

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Skills you'll use

What you'll do

• Lead the hands-on design, development, and deployment of advanced AI, GenAI, and large language model solutions.
• Serve as a subject matter expert on a wide range of machine learning techniques and optimizations.
• Collaborate with product, engineering, and business teams to deliver scalable, production-ready AI systems.
• Conduct experiments using the latest ML technologies, analyze results, and tune models for optimal performance.
• Own end-to-end code development in Python for both proof-of-concept and production-ready solutions.
• Integrate generative AI within the ML platform using state-of-the-art techniques.
• Drive adoption of modern ML infrastructure, tools, and best practices.
• Optimize system accuracy and performance by identifying and resolving inefficiencies.
• Communicate technical concepts and results to both technical and business stakeholders.
• Ensure responsible AI practices, model governance, and compliance with regulatory standards.

Who can apply

• Master’s or PhD in Computer Science, Engineering, Mathematics, or a related quantitative field.
• Minimum 6 years of hands-on experience in applied machine learning, including generative AI, large language models, or foundation models.
• Experience programming in Python; experience with ML frameworks such as PyTorch or TensorFlow.
• Proven experience designing, training, and deploying large-scale ML/AI models in production environments.
• Deep understanding of prompt engineering, agentic workflows, and orchestration frameworks.
• Experience with cloud platforms (AWS, Azure, GCP) and distributed systems (Kubernetes, Ray, Slurm).
• Solid grasp of MLOps tools and practices (MLflow, model monitoring, CI/CD for ML).
• Strong communication skills with the ability to explain complex technical concepts to diverse audiences.
• Demonstrated leadership in working effectively with engineers, product managers, and other ML practitioners.
• Experience applying data science and ML techniques to solve business problems and passion for detail, follow-through, and technical excellence.

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