AI/ML Engineer

Required Qualifications

• 4–7 years of experience in AI/ML engineering or applied data science roles.
• Strong hands on experience with Python and ML libraries (e.g., scikit learn, PyTorch, TensorFlow).
• Experience building end to end ML solutions from data to deployment.
• Practical exposure to GenAI / LLM concepts (prompting, embeddings, RAG, APIs).
• Experience working in cloud environments (Azure preferred).
• Ability to communicate effectively with both technical and non technical stakeholders.

Preferred Qualifications

• Experience in healthcare, insurance, or regulated industries.
• Familiarity with Azure ML, Databricks, or similar platforms.
• Exposure to agent based or workflow oriented AI systems.
• Consulting or client facing delivery experience.
• Knowledge of Responsible AI, model governance, or compliance workflows.