Senior Machine Learning DevOps Engineer

Cohere Health, Inc.; Mississippi; On-site; USD 149,000; Full time

Job summary

Cohere Health is seeking a skilled Software Engineer to architect and design ML pipelines and CI/CD systems. This telecommuting role requires expertise in machine learning technologies, Python, and AWS, alongside a solid academic background. The ideal candidate will contribute to enhancing ML infrastructure while mentoring junior engineers.

Benefits

Medical, dental, vision, life, disability insurance

401K retirement plan with company match

Up to 184 hours (23 days) of PTO per year

Up to 14 weeks of paid parental leave

Qualifications

• 3 years of experience as a Software Engineer working with Machine Learning technologies.
• Experience with ML model deployment and monitoring.
• Knowledge in AWS tools such as SageMaker and CloudWatch.

Responsibilities

• Implement automated ML pipelines, including data preprocessing and model deployment.
• Create CI/CD pipelines for ML models and monitor system health.
• Mentor junior ML engineers and work with cross-functional teams.

Skills

Python

Machine Learning

AWS

CI/CD

Education

Master’s degree in Computer Science, Business Analytics, Machine Learning or a closely related field

Bachelor’s degree in Computer Science, Business Analytics, Machine Learning or a closely related field

Tools

TensorFlow

PyTorch

Docker

Kubernetes

Job description

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

???? 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

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 embodyour 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.

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