About this opportunity
Certus Sales Recruitment lists this Senior MLOps Engineer — Energy Sector (Hybrid) opportunity in austin, Texas. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Senior MLOps Engineer – Energy Sector
Austin, TX – Hybrid
$160–180k + Excellent Benefits
Our client, a leader in energy innovation, is seeking a Senior MLOps Engineer to design, deploy, and scale machine learning infrastructure powering forecasting, optimisation, and real-time decision-making.
This is a pivotal role, bridging data science and production systems to ensure models are fast, reliable, and seamlessly embedded in business-critical operations.
Role Overview
Productionise ML models – Deploy forecasting & optimisation models into live market environments with high availability.
Build scalable ML infrastructure – Architect systems for training, testing & serving at scale.
Automate deployments – Design CI/CD workflows to test, package, and release ML code to production.
Monitor & maintain performance – Implement monitoring, alerting, and retraining pipelines to keep models accurate.
Collaborate widely – Work with data scientists, engineers, and ops teams to translate prototypes into production.
Optimise compute & storage – Manage GPU clusters, distributed training, and cloud resources efficiently.
Standardise operations – Create best practices, documentation, and tooling for reproducibility.
Enable real-time insights – Integrate live data from ISOs, weather feeds, and telemetry systems.
Drive innovation – Research tools to improve deployment speed, resilience, and observability.
About You
3+ years’ MLOps experience in production environments.
Skilled in ML serving frameworks (MLflow, TensorFlow Serving, TorchServe, BentoML).
Strong Python skills for APIs, preprocessing, and ML integration.
Hands‑on AWS experience (SageMaker, EKS, S3, Lambda) plus Terraform & Kubernetes.
Proficient in CI/CD tools (GitHub Actions, GitLab CI, Jenkins).
Familiar with monitoring tools (Prometheus, Grafana, Evidently).
Expert in Docker & Kubernetes for ML deployment.
Energy market knowledge is a plus, not a must.
Degree in Computer Science, Machine Learning, or related field (advanced degree/certs welcome).
What’s on Offer
$160–180k base + benefits
Generous PTO
Flexible hybrid working (3 days WFH)
Professional development opportunities
Medical, dental, and vision coverage
If you are ready to take your career to the next level and make a significant impact, apply now!
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Worksite address
austin, TX, 78716, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.