CompScience · 2 months ago
Senior MLOps Engineer
United States
Full-time
Remote
Senior Level
$175K/yr - $225K/yr
5+ years expCompScience is a high-growth startup focused on preventing workplace injuries through innovative technology. They are seeking a Senior MLOps Engineer to design, build, and maintain the infrastructure for their machine learning products, ensuring scalability and reliability in their risk assessment models.
Artificial Intelligence (AI)Commercial InsuranceComputer VisionIndustrialInsuranceInsurTechInternet of ThingsMachine LearningSoftware
Responsibilities
Design, build, and own the end-to-end MLOps infrastructure on AWS, with a heavy emphasis on scalable data engineering and reliable, cost-efficient ML systems
Implement and manage high-throughput, event-driven ML workflows (S3, Lambda, SQS, Step Functions, Batch) to support both data-centric pipelines and model execution
Develop and maintain robust CI/CD pipelines for model deployment and promotion, enforcing best practices for Git, semantic versioning, and multi-branch release strategies
Orchestrate complex data pipelines for the ingestion, processing, and updating of embeddings in vector databases (e.g., Qdrant, ChromaDB)
Establish and manage systems for training phase management and experiment tracking (e.g., MLflow, SageMaker Experiments) and evaluate modern model serving tools (e.g., BentoML)
Implement comprehensive security measures, including least-privilege access control (IAM) and secure credential management for models and APIs
Collaborate with data science teams to translate prototypes (including LLMs and standalone APIs) into production-grade services with clear monitoring strategies for production model health
Qualification
Required
Bachelor's degree in Computer Science, Engineering, or a related technical field
5+ years of professional experience in MLOps, DevOps, or a senior Data Engineering role with a focus on operationalizing machine learning models
Expert-level proficiency in Python for pipeline automation and scripting, including extensive experience with the AWS SDK (Boto3) and Bash
Deep, hands-on experience with core AWS services, including S3, Lambda, SageMaker, IAM, and a solid understanding of networking within VPCs
Proven experience building and deploying containerized applications (Docker), especially for serving ML models and LLM-based APIs
Deep familiarity with Git workflows (branching, merging, rebasing) and experience implementing CI/CD pipelines using tools like GitHub Actions or AWS CodePipeline
Demonstrated experience in designing and orchestrating complex, data-engineering-heavy pipelines, from data ingestion through to production inference
Preferred
An active AWS Certification, such as AWS Certified Machine Learning – Specialty or AWS Certified DevOps Engineer – Professional
Proven experience designing and implementing comprehensive monitoring strategies and observability dashboards (CloudWatch, Grafana) to track model drift, latency, and throughput
Familiarity with managing hybrid or edge inference deployments (Greengrass, Jetson) and supporting model fine-tuning workflows
Benefits
Fast-paced startup environment where your ideas can quickly become reality
Opportunity to wear multiple hats and grow beyond your job description
Remote-first culture with home office support
Comprehensive health benefits (Medical, Dental, Vision, HSA)
401(k) plan and life insurance
Flexible time off and 12 weeks parental leave
Professional development reimbursement
Company
CompScience
CompScience provides AI-driven insights for workers' compensation insurance and safety.
11-50 employees
H1B Sponsorship
CompScience has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2024 (5)
2021 (2)
2020 (1)
Funding
Current Stage
Growth StageTotal Funding
$47.6MKey Investors
Valor Equity Partners
2025-02-27Series B· $27.6M
2023-07-27Series A· $10M
2022-08-16Seed· $6M
Leadership Team
Josh Butler
Founder/CEO
Jeremy Silver
SVP, Client Services and Success
Recent News
2025-10-17
Company data provided by crunchbase