Senior / Principal ML Engineer(Machine Learning, GenAI)

We’re looking for an experienced Machine Learning Engineer to lead the design, development, and deployment of large-scale ML and GenAI solutions, including RAG, AI Agents, and LLM fine-tuning. The role involves driving end-to-end ML lifecycles, scaling production systems on cloud platforms, and mentoring teams to accelerate innovation. Job Responsibilities

Be a thought leader and forward thinker, help drive an innovative vision for our various products and platforms, design and launch strategic machine learning (ML) solutions and drive business-wide innovation. Take the lead in the end-to-end software development lifecycle, encompassing design, testing, deployment, and operations, lead technical discussions and strategy, and participate hands-on in design reviews, code reviews, and implementation. Craft high-performance, production-ready machine learning code for our next-generation real-time ML platform. Extend existing ML libraries and frameworks. Working closely with other engineers and scientists, lead solutions to accelerate model development, validation and experimentation cycles, and integrate models and algorithms in production systems at a very large scale. Requirements

Degree in Computer Science, Mathematics, or related field. 5+ years building and deploying end-to-end ML solutions in production. 1+ years developing GenAI solutions (RAG, AI Agents, LLM finetuning) in production. 5+ years full SDLC experience : design, coding, reviews, testing, deployment, operations. Experience with large-scale distributed systems on cloud (AWS, Azure, GCP). Strong ability to solve complex, ambiguous problems. Preferred Qualifications

MS / PhD in Computer Science or related ML discipline. Experience with Graph ML / Graph technologies (e.g., GNNs). Experience with distributed Big Data technologies (Spark, Flink, Kafka,PySpark, Lakehouse, SageMaker, etc.).

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