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Senior MLOps Engineer - Job Opportunity at Cohere Health

Remote, US
Full-time
Senior
Posted: April 18, 2025
Remote
USD 150,000-170,000 per year

Benefits

Comprehensive health insurance with competitive coverage
401(k) retirement plan with company match
Performance bonus structure
Remote work flexibility
Growth-oriented professional development environment

Key Responsibilities

Lead end-to-end MLOps strategy and infrastructure development
Architect and optimize large-scale LLM deployments
Design and implement automated ML pipelines and CI/CD processes
Establish comprehensive monitoring systems for model performance
Drive security compliance and data governance initiatives
Provide technical leadership and mentorship to ML engineering team

Requirements

Education

Master's or Ph.D. (preferred) in Computer Science, Engineering, or related field

Experience

5+ years of experience in MLOps, ML Engineering, or related roles

Required Skills

Deep expertise in Python TensorFlow or PyTorch experience AWS (preferred), GCP, or Azure proficiency Docker and Kubernetes expertise CI/CD pipeline implementation Infrastructure as code knowledge Big data technologies (Spark, Hadoop) MLFlow, Tensorboard, ELK Stack experience Strong problem-solving abilities Transformer models and NLP (preferred) Terraform knowledge (preferred) Healthcare sector experience (preferred)
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Sauge AI Market Intelligence

Industry Trends

The MLOps space is experiencing rapid evolution with increased focus on LLM deployment optimization and cost management Healthcare AI applications are seeing accelerated adoption, particularly in clinical decision support systems There's a growing emphasis on explainable AI and regulatory compliance in healthcare ML applications

Salary Evaluation

The offered salary range of $150,000-170,000 is slightly below market for senior MLOps roles, where similar positions typically command $160,000-200,000, particularly given the healthcare domain expertise requirement

Role Significance

Based on company size and growth trajectory, likely leading a team of 4-6 ML engineers with matrix management across broader engineering organization
This is a strategic leadership position with direct influence on core technology infrastructure and business outcomes

Key Projects

Enterprise-scale LLM deployment and optimization initiatives Development of automated ML pipeline infrastructure Implementation of model monitoring and governance frameworks Cross-functional integration of ML capabilities into healthcare products

Success Factors

Deep technical expertise combined with healthcare domain knowledge Ability to balance innovation with regulatory compliance requirements Strong architectural vision for scalable ML systems Effective stakeholder management across technical and business teams

Market Demand

Extremely high demand, with MLOps roles in healthcare showing 70% growth in job postings over the past year

Important Skills

Critical Skills

MLOps expertise with focus on healthcare compliance LLM deployment and optimization experience Cloud infrastructure and automation capabilities

Beneficial Skills

Healthcare domain knowledge Experience with clinical data systems Understanding of HIPAA and healthcare regulations

Unique Aspects

Rare opportunity to work on LLM applications in regulated healthcare environment
Combination of technical leadership and hands-on architecture role
Direct impact on clinical outcomes through AI implementation

Career Growth

2-3 years in role before advancement opportunity, accelerated by company's rapid growth phase

Potential Next Roles

Director of AI/ML Engineering Chief AI Officer VP of Engineering Technical Architecture Leader

Company Overview

Cohere Health

Cohere Health is a well-funded healthcare AI company with strong market traction, demonstrated by their coverage of 15 million lives

Emerging leader in clinical intelligence space with significant growth trajectory and strong financial backing ($106M raised)
Remote-first organization with national reach in US healthcare market
Fast-paced, innovation-focused environment with emphasis on collaboration and inclusive growth
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  • Critical success factors and key skills
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