MLOps Engineer
Technology
Haystack
2 weeks ago
Full timeOn-site
Job description
We're hiring on behalf of a Haystack partner!
The Role
- Design, implement, and optimize machine learning operations infrastructure, including orchestration, version control, and monitoring.
- Develop and automate pipelines for model training, testing, validation, and deployment using CI/CD practices.
- Deploy machine learning models into production, establishing monitoring and alerting for performance, health, and data drift.
- Collaborate with data scientists, software engineers, and DevOps teams to integrate ML solutions into existing systems.
- Ensure adherence to security protocols and compliance standards throughout the ML lifecycle.
What You'll Need
- 8+ years of experience in MLOps or DevOps roles within a technical engineering environment.
- Proficiency in programming languages such as Python or Java, and experience with ML frameworks like TensorFlow or PyTorch.
- Experience with CI/CD pipelines, version control systems (Git), and automation tools.
- Strong knowledge of containerization technologies (Docker, Kubernetes) and cloud platforms (AWS, Azure, GCP).
What's On Offer
- Annual salary of $125,000 - $275,000.
- Comprehensive benefits package including medical, dental, vision, and 401(K) plan.
- Opportunities for professional development and to contribute to technical innovations.
- A collaborative and fast-paced work environment.
Keywords
machine-learning-ops-mlopsplanning-and-designvisual-art-designproduct-development-and-designmachine-learningmaintenance-repair-and-operations-mroservice-management-and-orchestration-smosoftware-version-managementrevision-managementsource-code-managementversion-controltraining-certificationeducation-trainingtraining-and-developmenttesting-and-analysiscustomer-intelligence-cicontinuous-integrationcd-certificate-of-depositci-cdpolicies-and-practices
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