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 GCP)
- Strong ability to solve complex ambiguous problems
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...
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 GCP)
- Strong ability to solve complex ambiguous problems
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