Role: AI/ML Engineer

Location: Ahmedabad, Pune, Indore

Years of Experience: 4 to 8 years

Notice Period – 0-45 Days (Preferred)

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).

What We Offer:
- Market-competitive salary
- Work Life Balance
- Professional Development
- Innovative Work Environment.
- Recognition and Rewards

📌 Machine Learning Engineer (Ahmedabad)
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