Senior Machine Learning Engineer
10 hours ago
Job Overview:
We are seeking a highly experienced Senior ML Engineer with deep expertise in Generative AI and Machine Learning to drive innovation and deliver large-scale production-ready ML solutions. The ideal candidate will bring hands-on experience across the full SDLC, strong technical leadership, and proven success in deploying cutting-edge ML models and platforms at scale.
Key Responsibilities:
- Act as a thought leader driving ML innovation across products and platforms.
- Lead the full software development lifecycle (SDLC): design, coding, testing, deployment, and operations.
- Guide technical strategy, conduct design/code reviews, and mentor peers.
- Develop production-grade ML code for next-gen real-time ML platforms.
- Extend and optimize existing ML libraries/frameworks for performance at scale.
- Partner with scientists and engineers to accelerate model development, validation, experimentation, and integration into production systems.
- 8+ years of experience across the full SDLC (design, coding, testing, deployment, operations).
- 5+ years of hands-on experience building and deploying end-to-end ML solutions in production.
- Proven experience with Generative AI (RAG, AI Agents, LLM fine-tuning).
- Strong background in cloud-based distributed systems (AWS, Azure, GCP).
- Exceptional problem-solving skills and ability to work in complex, ambiguous environments.
- Bachelor's degree in Computer Science, Mathematics, or related field.
- MS/PhD in Computer Science, Machine Learning, or related discipline.
- Experience with Graph ML and Graph technologies (e.g., GNNs, GraphRAG).
- Exposure to Big Data and distributed technologies (Spark, Flink, Kafka, PySpark, Lakehouse, Druid, Hudi, Glue).
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