Senior Software Engineer-Generative AI-Big Data

We are seeking a Senior ML Engineer / Machine Learning Solutions Lead to drive innovative ML strategies, design and deploy production-grade models, and deliver business-wide impact through cutting-edge solutions. The role requires expertise in end-to-end ML system design, Generative AI, and distributed cloud-based platforms. Key Responsibilities - Act as a thought leader , shaping the ML vision across products and platforms and driving strategic innovation. - Lead the full software development lifecycle (SDLC) including design, testing, deployment, and operations. - Develop high-performance, production-ready ML code for real-time ML platforms and extend existing ML frameworks and libraries. - Collaborate with engineers and data scientists to accelerate model development, validation, and experimentation , integrating algorithms into scalable production systems. - Participate actively in design reviews, code reviews, and technical strategy discussions to ensure high-quality ML solutions. Requirements - Degree in Computer Science, Mathematics, or a related field. - 5+ years of experience across SDLC including design, coding, testing, deployment, and operations. - 5+ years of hands-on experience building and deploying end-to-end ML solutions in production . - Practical experience in Generative AI (RAG, AI Agents, LLM fine-tuning) in production environments. - Experience with cloud platforms (AWS, Azure, GCP) and distributed systems. - Strong problem-solving skills with the ability to tackle complex, ambiguous challenges. Preferred Qualifications - MS or PhD in Computer Science, Machine Learning, or related disciplines. - Experience with Graph ML and technologies like GNNs or Graph RAG. - Knowledge of distributed Big Data technologies such as Spark, Flink, Kafka, PySpark, Lakehouse, Druid, Hudi, or Glue. Skills: Big Data Technologies (Spark/Kafka/PySpark), Distributed Cloud ML Systems, Generative AI (RAG, Graph ML, Production-Grade ML Code Development, SDLC Expertise Experience: 5.00-12.00 Years