About this role
Position: AI/ML - Senior Engineer (Level 1)
Job Description: JRole: 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:
• Competitive Salary • Work Life Balance Professional Development
Location: IN-MH-Pune, India-Blue Ridge-Hinjewadi (eInfochips)
Time Type: Full time
Job Category: Engineering Services