AI/ML Engineer

JD:
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.