AI/ML Engineer

Role: AI/ML Engineer
Experience: 8–10 Years
Location: Remote – Pan India
Shift Timing : 11:00 AM – 9:00 PM (IST)
Employment Type: C2C
Joining: Immediate

Job Overview:

We are looking for an experienced AI/ML Engineer with strong expertise in Python, SQL, Azure Databricks, Machine Learning, Generative AI, and MLOps.

The candidate should have hands-on experience building and deploying production-grade ML/AI and GenAI solutions, including LLMs, RAG, embeddings, MLflow, and end-to-end ML pipelines.

Mandatory Skills

• 8–10 years of overall AI/ML experience
• Strong Python – Pandas, NumPy, Scikit-learn, TensorFlow
• Strong SQL
• Hands-on Azure Databricks
• MLflow, Delta Lake & MLOps
• Machine Learning – Classification, Regression, Time Series, Recommendation Systems
• Generative AI – LLMs, RAG, Embeddings, Prompt Engineering / Agentic AI
• End-to-end ML pipeline development and deployment
• Model monitoring, versioning, experiment tracking and productionization
• Azure ML / Azure Data Lake / Azure Data Factory
• Git/GitHub
• GitHub Copilot or equivalent AI coding assistant

Healthcare / RCM – Preferred

Healthcare or Revenue Cycle Management (RCM) experience is highly preferred.

Knowledge of:

• Healthcare Claims Processing
• Claims Outcome Prediction
• Denials Management
• EDI 837 / 835
• Provider/Payer Workflows

Key Responsibilities

• Develop and deploy ML, Deep Learning and GenAI solutions
• Build end-to-end ML pipelines from data preparation to production
• Develop RAG/LLM-based AI applications
• Perform EDA, feature engineering and model evaluation
• Implement MLOps using MLflow
• Work with Data Engineering teams on data quality and pipelines
• Monitor model performance and data/model drift
• Collaborate with business and technical stakeholders
• Troubleshoot complex AI/ML and data challenges

Education

Bachelor’s/Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or related field preferred.

Pay: ₹90,000.00 - ₹100,000.00 per month

Experience:

• Azure Databricks: 5 years (Required)

Work Location: Remote