Machine Learning Engineer (Ahmedabad)

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. Robust 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: Competitive Salary Work Life Balance Professional Development Innovative Work Environment. Recognition and Rewards