Senior Machine Learning Engineer_ Generative AI_Remote Role

Position :Senior Machine Learning Engineer Generative AILocation :Remote, Must work PST hoursDuration :5MonthsJD8years of full SDLC experience (design, coding, reviews, testing, deployment, operations)5years of experience building and deploying end-to-end ML solutions or platforms in productionJob 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 innovationLead the full software development lifecycle (design, testing, deployment, and operations), guide technical discussions and strategy, and actively participate in design reviews, code reviews, and implementationDevelop high-performance, production-ready ML code for next-generation real-time ML platforms, and extend existing ML libraries and frameworksCollaborate closely with engineers and scientists to accelerate model development, validation, and experimentation cycles, and integrate models and algorithms into production systems at scaleRequirements :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 productionHands-on experience developing Generative AI solutions (RAG, AI Agents, LLM fine-tuning) in productionExperience with large-scale distributed systems on cloud platforms (AWS, Azure, GCP)Strong ability to solve complex, ambiguous problemsPreferred QualificationsMS / PhD in Computer Science, Machine Learning, or a related disciplineExperience 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). Experience: 5 years required