MLOps Engineer

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.

Apply via Haystack today!