Location (City, State): Ahmedabad, Indore, Pune- Baner

Experience Level: 6+ years

Relevant Experience required: 4+ years

Role Summary

Lead the design, development, and deployment of ML solutions at scale. Drive architecture, mentor the team, and integrate advanced AI (including LLMs) into enterprise workflows.

Note: Deep Learning is GREAT to have but Machine Learning is MANDATORY.

--- Must-Have (Mandatory)

· Machine Learning: Deep understanding of supervised, unsupervised, and reinforcement learning, model evaluation, and feature engineering.

· Deep Learning: Proficiency with TensorFlow, PyTorch, Keras; hands-on with CNNs, RNNs.

· Programming: Expert in Python (NumPy, Pandas, scikit-learn, etc.); R exposure acceptable.

· Big Data Technologies: Practical experience with Spark (Databricks preferred); familiarity with Hadoop/Kafka.

· Cloud Platforms: Azure or AWS or GCP (ML services, data storage, compute), with strong MLOps exposure.

· Data Warehousing & Databases: Strong SQL, NoSQL, and data modeling.

· Drift Detection & Monitoring: Hands-on experience with model drift detection, monitoring, and automated alerts.

· Data Governance: Practical experience implementing governance frameworks, lineage tracking, metadata management, and compliance

· Architect scalable MLOps pipelines using Azure ML, MLflow, Databricks Asset Bundles (DAB), and CI/CD/CT Good-to-Have.

· Design & deploy LLM solutions (RAG, Agentic AI, MCP, prompt engineering).

· Build Power BI dashboards for monitoring models and reporting business KPIs.

· Strong grounding in statistics, hypothesis testing, and data interpretation.

· Apply software engineering principles for reusable, testable, and maintainable ML code.

· Stay up to date with Generative AI, Agentic AI, and LLMs and assess practical adoption.

· Mentor juniors, review code, and conduct technical knowledge-sharing sessions.

· Certification: Microsoft Certified: Azure Data Scientist Associate (nice to have)

Must have Skills:

Machine Learning

Python

DataBricks

Cloud Platform with

strong MLOps

exposure [Azure

preferable]

SQL, NoSQL, and

data modeling

Drift Detection &

Monitoring

Data Governance

Good to have skills:

LLM solutions (RAG,

Agentic AI, MCP,

prompt engineering).

Power BI dashboards.