Senior Machine Learning DevOps Engineer

Back to jobs New Senior Machine Learning DevOps Engineer United States Apply Opportunity Overview: Architect and design end to end ML pipelines, CI/CD pipelines, operational health, performance monitoring including model promotion demotion and cost monitoring. Duties include: Implement automated ML pipelines, including data preprocessing, model training, and deployment including LLMs. Implement robust CI/CD pipelines for ML models to facilitate continuous integration and delivery. Implement monitoring systems to track model performance, data drift, and system health. Identify and resolve issues to maintain high availability and reliability of ML services. Implement new tools and technologies to enhance the ML infrastructure Implement data governance policies and practices to protect sensitive information. Mentor and guide junior ML engineers in MLOps best practices and engage with cross-functional teams to drive cohesive and integrated solutions. What you’ll need: Position requires either (i) a Master’s degree (or an equivalent foreign degree) in Computer Science, Business Analytics, Machine Learning or a closely related field and 3 years of experience as a Software Engineer working with Machine Learning technologies or (ii) a Bachelor’s degree (or an equivalent foreign degree) in Computer Science, Business Analytics, Machine Learning or a closely related field and 5 years of experience as a Software Engineer working with Machine Learning technologies. Must also have 3 years of experience (which can have been gained concurrently with either primary experience requirement above) working with the following: ML model deployment, maintenance and the methods to evaluate models in product use, including working with Arize, Arize Phoenix, MLFlow, Docker, Kubernetes, AWS Lambda/ECS, log aggregation, CI/CD, Linux, and Terraform; Using Python, TensorFlow, PyTorch, scikit-learn, and ElasticSearch; Using AWS tools including AWS SageMaker, Athena, Fargate, Bedrock, CloudWatch, S3, ECS, EMR, EC2 and Lambda; and Access configuration, and setting up monitoring and alerts to ensure appropriate use of computational resources for models performance monitoring. This is a telecommuting position working from home. May reside anywhere in the United States.  #LI-DNI Pay & Perks: 🩺 Medical, dental, vision, life, disability insurance, and Employee Assistance Program  📈 401K retirement plan with company match; flexible spending and health savings account  🏝️ Up to 184 hours (23 days) of PTO per year + company holidays 👶 Up to 14 weeks of paid parental leave  🐶 Pet insurance   The salary range for this position is $148,762 annually; as part of a total benefits package which includes health insurance, 401k and bonus. In accordance with state applicable laws, Cohere is required to provide a reasonable estimate of the compensation range for this role. Individual pay decisions are ultimately based on a number of factors, including but not limited to qualifications for the role, experience level, skillset, and internal alignment. Interview Process*: Connect with Talent Acquisition for a Preliminary Phone Screening Meet your Hiring Manager! Behavioral Interview(s) Case Study *Subject to change About Cohere Health: Cohere Health is a fast-growing clinical intelligence company that’s improving lives at scale by promoting the best patient-specific care options, using cutting-edge AI combined with deep clinical expertise. In only four years our solutions have been adopted by health plans covering over 15 million lives, while our revenues and company size have quadrupled.  That growth combined with capital raises totaling $106M positions us extremely well for continued success. Our awards include: 2023 and 2024 BuiltIn Best Place to Work; Top 5 LinkedIn™ Startup; TripleTree iAward; multiple KLAS Research Points of Light awards, along with recognition on Fierce Healthcare's Fierce 15 and CB Insights' Digital Health 150 lists. The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody  our core values and principles . We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone. We can’t wait to learn more about you and meet you at Cohere Health! Equal Opportunity Statement:  Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all.  To us, it’s personal. Create a Job Alert Interested in building your career at Cohere Health? Get future opportunities sent straight to your email. 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Do you have three (3) years of experience working with ML model deployment, maintenance and the methods to evaluate models in product use, including working with Arize, Arize Phoenix, MLFlow, Docker, Kubernetes, AWS Lambda/ECS, log aggregation, CI/CD, Linux, and Terraform? * Select... Do you have three (3) years of experience using Python, TensorFlow, PyTorch, scikit-learn, and ElasticSearch? * Select... Do you have three (3) years of experience using AWS tools including AWS SageMaker, Athena, Fargate, Bedrock, CloudWatch, S3, ECS, EMR, EC2 and Lambda? * Select... Do you have three (3) years of experience with access configuration, and setting up monitoring and alerts to ensure appropriate use of computational resources for models performance monitoring? * Select... LinkedIn Profile Website Are you at least 18 years of age? * Select... How did you hear about us? * Select... Have you been previously employed at Cohere Health? * Select... 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