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# Machine Learning Engineer

- **Company:** Compunnel Inc.
- **Location:** Westbrook, ME, United States
- **Experience:** Experienced
- **Salary:** $114,400.0 - $124,800.0
- **Contract:** Temporary contract
- **Skills:** Unity 3d, Amazon Web Services, Amazon S3, Continuous Integration, Information Engineering, Data Governance, Linux, Github, Identity and Access Management, Python (Programming Language), Machine Learning, Standard Sql, Management of Software Versions, Apache Spark, Containerization, Pyspark, Gitlab-ci, Machine Learning Operations, Terraform, Docker, Databricks
- **Published:** August 3, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=5ee1d030d5fafa9c

## About the Role

* 3-5 years of experience in MLOps, data engineering, or a related field
 * Strong Python skills, including writing production-grade, testable code
 * Hands-on experience with AWS services (e.g., S3, SageMaker, Lambda, ECS/EKS, IAM)
 * Solid working knowledge of Databricks (jobs, workflows, MLflow, Unity Catalog)
 * Experience with CI/CD tooling (e.g., GitHub Actions, GitLab CI) and infrastructure-as-code (e.g., Terraform)
 * Familiarity with containerization (Docker) and orchestration concepts
 * Understanding of ML lifecycle management: experiment tracking, model registries, monitoring, and retraining
 * High level of comfort with Linux
 * Experience with SQL
 * Strong problem-solving and analytical skills
 * Excellent communication and collaboration skills

Nice to Have

 * Experience with Spark/PySpark at scale
 * Knowledge of data governance and security best practices
 * Relevant AWS or Databricks certifications

## Description

You'll design, deploy, and maintain ML pipelines on AWS and Databricks, automating the full model lifecycle from training to deployment and monitoring. You'll implement CI/CD workflows for ML systems, ensure model reproducibility and versioning, optimize compute costs and performance, and collaborate closely with data scientists and engineers to bring models reliably into production.


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