Senior Machine Learning Engineer (Generative AI)

Remote (Must work PST hours)

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. Required Qualifications:

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 . Preferred Qualifications:

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).