Lead Ai/ml Engineer

Position Lead AI ML Engineer Job Title Lead AI ML Engineer Location Ahmedabad Indore Pune 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 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 Location IN-GJ-Ahmedabad India-Ognaj eInfochips Time Type Full time Job Category Engineering Services Position Lead AI ML Engineer Job Title Lead AI ML Engineer Location Ahmedabad Indore Pune 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 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 Location IN-GJ-Ahmedabad India-Ognaj eInfochips Time Type Full time Job Category Engineering Services