MLOps Engineer

We are seeking aMLOpsEngineerto design build and support the infrastructure tooling and automation that enable scalable and reliable machine learning systems across our client engagements. This roleis responsible foroperationalizing ML models implementing robust pipelines and ensuring smooth transitions from experimentation to production. TheMLOpsEngineer works closely with Data Scientists AI Developers Data Engineers and cloud engineering teams to streamline model deployment monitoring and lifecycle management in alignment with mission needs.

• Develop andmaintainend-to-end ML pipelines including data ingestion feature engineering model training model packaging deployment and monitoring workflows.

• Implement CI/CD pipelines for ML assets enabling automated testing versioning promotion and reproducibility across environments.

• Integrate ML models into production services using APIs microservices serverless functions or container orchestration frameworks like Kubernetes.

• Build and manage core ML platform components such as model registries experiment tracking systems feature stores datasets job schedulers and lineage tools.

• Monitor model performance system health and data drift using logging observability frameworks dashboards and alerting systems; partner with Data Scientists to refine retraining strategies.

• Collaborate with Data Engineers to ensure data pipelines and data quality support high-performing ML systems.

• ImplementDevSecOpsbest practicesincludingsecretsmanagement environment hardening and secure deployment patternsto ensure compliance and operational resilience.

• Help define and enforceMLOpsstandards documentation and reusable patterns that improve efficiency and reduce technical debt across teams.

• Support troubleshooting and root-cause analysis of pipeline issues infrastructure problems or performance degradation in deployed ML models.

• Stay current with emergingMLOpstools cloud-native ML technologies distributed training methodologies and best practices in ML lifecycle management.

• You will contribute to the growth of our AI & Data Exploitation Practice!

• Ability to hold a position of public trust with the U.S. government.

• Bachelors or Masters degree in Computer Science Data Engineering Machine Learning Information Systems ora relatedtechnical discipline.
• Masters Degree and 0 years of experience OR Bachelors Degree and 2 years of experience OR No degree and 6 years of experience.

• 2 years of experience inMLOps ML engineering DevOps cloud engineering or applied ML development.

• Proficiencyin Python and familiarity with ML frameworks such as scikit-learn TensorFlowPyTorch orXGBoost.

• Hands-on experience with at least one cloud platform (AWS Azure or GCP) and associated ML/DevOps services (e.g. SageMaker Azure ML Vertex AI EKS/AKS/GKE).

• Practical experience with CI/CD tools (GitHub Actions GitLab CI Jenkins) and containerization (Docker Kubernetes).

• Strong understanding of ML lifecycle management including versioning packaging deployment monitoring and retraining.

• Familiarity with infrastructure-as-code tools such as Terraform or CloudFormation.

• Experience with logging observability and monitoring frameworks (CloudWatch Prometheus Grafana ELK stack Datadog etc.).

• Ability to collaborate with Data Scientists Engineers and mission stakeholders to ensure ML systems deliver operational value.

• Strong communicationskills and the ability to document workflows architecture decisions and runbooks.

• Preferred certifications:
  • AWS ML Specialty
  • AWS DevOps Engineer
  • Azure Data Scientist Associate
  • Google Professional Machine Learning Engineer
  • Databricks Machine Learning Associate/Professional

Steampunk relies on several factors to determine salary including but not limited to geographic location contractual requirements education knowledge skills competencies and experience. The projected compensation range for this position is $115000 to $150000. The estimate displayed represents a typical annual salary range for this position. Annual salary is just one aspect of Steampunks total compensation package for employees. Learn more about additional Steampunk benefits here.

Identity Statement

As part of the application process you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Steampunk is a Change Agent in the Federal contracting industry bringing new thinking to clients in the Homeland Federal Civilian Health and DoD sectors. Through our Human-Centered delivery methodology we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges. As an employee owned company we focus on investing in our employees to enable them to do the greatest work of their careers and rewarding them for outstanding contributions to our growth. If you want to learn more about our story visit .