Qureos Mentor

Fractal Analytics

<div><div>It's fun to work in a company where people truly BELIEVE in what they are doing!</div><div></div><div><i>
We're committed to bringing passion and customer focus to the business.</i></div><div></div><div>
Role: MLOps Platform Engineer</div><div>
Experience: +5 years</div><div>
Overview: We are seeking a skilled MLOps Platform Engineer to build and maintain a robust platform for the entire Machine Learning (ML) lifecycle. This role involves automating ML model training, testing, deployment, and monitoring, integrating seamlessly with our existing infrastructure to accelerate ML innovation.</div><div>
Key responsibilities:</div><ul><li><div>
CI/CD for ML: Develop and manage CI/CD pipelines for ML model code and infrastructure, covering unit, integration, and deployment to all environments.</div></li><li><div>
Automated ML Training: Design and implement pipelines for repeatable model training, automatic sweeps, data processing, and hyperparameter optimization.</div><ul><li><div>
Include scheduling, queuing, and cost monitoring for training runs.</div></li><li><div>
Support training on cloud and on-premise GPU resources.</div></li></ul></li><li><div>
Model Monitoring: Establish tools and dashboards for continuous monitoring of deployed ML models, ensuring health, availability, and performance.</div></li><li><div>
Platform Integration: Ensure the MLOps platform integrates with company workflows, data pipelines, and computing architecture.</div></li><li><div>
MLOps Best Practices: Promote and implement best practices for reproducibility, version control, and governance across the ML lifecycle.</div></li></ul><div>
Skills:</div><ul><li><div>
Strong experience MLOps, DevOps, or ML Engineering, focusing on ML infrastructure</div></li><li><div>
Programming: Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).</div></li><li><div>
CI/CD &amp; Orchestration: Experience with CI/CD tools (e.g., Jenkins, GitLab CI, GitHub Actions) and workflow orchestrators (e.g., Airflow).</div></li><li><div>
Model Serving &amp; De</div></li></ul><div></div><div>
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!</div><div></div><div><div>
Not the right fit? Let us know you're interested in a future opportunity by clicking <i>Introduce Yourself</i> in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!</div></div></div>

ML Ops Engineer

Join Fractal Analytics and explore 1   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Fractal Analytics

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ML Ops Engineer