Senior Machine Learning Engineer

Remote Position. Must work PST hours

Senior ML Engineer (Gen AI, Machine Learning):

8+ years of full SDLC experience (design, coding, reviews, testing, deployment, operations)
5+ years of experience building and deploying end-to-end ML solutions or platforms in production

Job Responsibilities:

Serve as a thought leader and forward thinker driving innovative vision across products and platforms, designing and launching strategic ML solutions, and delivering business-wide innovation
Lead the full software development lifecycle (design, testing, deployment, and operations), guide technical discussions and strategy, and actively participate in design reviews, code reviews, and implementation
Develop high-performance, production-ready ML code for next-generation real-time ML platforms, and extend existing ML libraries and frameworks
Collaborate closely with engineers and scientists to accelerate model development, validation, and experimentation cycles, and integrate models and algorithms into production systems at scale

Requirements:

Degree in Computer Science, Mathematics, or a related field8 years of full SDLC experience (design, coding, reviews, testing, deployment, operations)
5 years of experience building and deploying end-to-end ML solutions or platforms in production
Hands-on experience developing Generative AI solutions (RAG, AI Agents, LLM fine-tuning) in production
Experience with large-scale distributed systems on cloud platforms (AWS, Azure, Google Cloud Platform)
Strong ability to solve complex, ambiguous problems

Preferred Qualifications

MS/PhD in Computer Science, Machine Learning, or a related discipline
Experience with Graph ML and Graph technologies (e.g., GNNs, GraphRAG)
Experience with distributed Big Data technologies (e.g., Spark, Flink, Kafka, PySpark, Lakehouse, Druid, Hudi, Glue)

Thank you