posted Mar 20

Sr Machine Learning Operations Engineer

Airflow AWS Azure Cloud ETL GCP Kubernetes Microservices Python PyTorch Tensorflow Terraform senior

Job Location: Bay Area, California

Salary: $133,000 - $238,000 a year

Job Description

• Blue River is seeking a Machine Learning Ops Engineer specializing in data and ML infrastructure to join our team • Lead the design, development, and implementation of on-premise and cloud MLOps solutions • Collaborate with cross-functional teams to build scalable data pipelines and model deployment systems • Stay up-to-date with latest trends in MLOps, machine learning, and AI • Mentor junior team members and help them grow their skills in MLOps

Qualifications

• 5 or more years of professional experience in MLOps, Data Engineering, or related field • Experience in designing and building MLOps infrastructure • Familiarity with Kubernetes, Python, and cloud platforms like AWS, GCP, Azure • Bachelor's degree in Computer Science, Math, or quantitative field • Preferred experience in ML frameworks, cloud workflow platforms, ETL workflows, and infrastructure templating tools

Benefits

• US annual base salary range $133,000 - $238,000 • Eligibility for Blue River’s bonus and benefit programs • Inclusive workplace promoting diversity and inclusion • Support for living a full life and accomplishing challenging missions

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Blue River Technology

Bay Area, California

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