Senior Associate Applied AI ML

What you'll do

• Design, develop, and deploy advanced AI, GenAI, and large language model solutions.
• Serve as a subject matter expert on machine learning techniques and optimizations.
• Develop end-to-end Python code for both proof-of-concept and production-ready systems.
• Integrate generative AI into the ML platform using state-of-the-art techniques.
• Drive the adoption of modern ML infrastructure, tools, and best practices.
• Optimize system accuracy and performance by identifying and resolving technical inefficiencies.
• Communicate complex technical concepts and results to both technical and business stakeholders.
• Ensure responsible AI practices, model governance, and compliance with regulatory standards.

What we're looking for

• Master’s or PhD in Computer Science, Engineering, Mathematics, or a related quantitative field.
• Minimum 3 years of hands-on experience in applied machine learning, including generative AI, large language models, or foundation models.
• Proficiency in Python programming and experience with ML frameworks such as PyTorch or TensorFlow.
• Proven experience designing, training, and deploying large-scale ML/AI models in production environments.
• Understanding of prompt engineering, agentic workflows, and orchestration frameworks.
• Experience with cloud platforms (AWS, Azure, GCP) and distributed systems like Kubernetes, Ray, or Slurm.
• Grasp of MLOps tools and practices including MLflow, model monitoring, and CI/CD for ML.
• Strong communication skills to explain complex technical concepts to both technical and business stakeholders.
• Experience with high-performance computing and GPU infrastructure (preferred).
• Familiarity with big data processing tools and cloud data services (preferred).
• Experience building and deploying ML models on specific cloud platforms like AWS SageMaker or EKS (preferred).