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Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and implement AI/ML solutions including traditional models and modern AI techniques (LLMs, generative AI, RAG, agentic AI) from concept through production deployment.
Collaborate with engineers, product managers, and business stakeholders to define technical approach, success metrics, and deployment requirements.
Build scalable AI systems emphasizing accuracy, robustness, fairness, explainability, and support compliance and governance in regulated environments like healthcare.
Minimum Requirements
Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or related technical field.
5 to 10 years of relevant work experience as an AI/ML Engineer.
Proficiency in Python and experience with ML frameworks such as PyTorch, TensorFlow, scikit-learn, AWS Bedrock, Azure AI Foundry.
Experience building end-to-end ML pipelines and deploying AI solutions on cloud platforms; professional English proficiency required.
Ideal Candidate Profile
Experienced in deep neural network architecture, training, tuning, and evaluation techniques.
Familiarity with autonomous/multi-agent systems, agent orchestration, and safety/reliability considerations.
Has prior exposure to regulated industries such as healthcare with understanding of compliance and governance requirements.