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.