Job Description

We are seeking a Senior ML Engineer / Machine Learning Solutions Lead to drive cutting-edge 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.

📌 Senior Software Engineer-Generative AI-Big Data (Chennai)
🏢 Extreme Networks
📍 Chennai