NetApp
Website:
netapp.com
Job details:
Job Summary
We are looking for a talented and motivated ML Ops Engineer to provide technology leadership in building and maintaining robust machine learning operations (ML Ops) frameworks.
This role will focus on enabling scalable, reliable, and efficient deployment of AI/ML models, ensuring seamless integration between Data Science and production systems.
You will collaborate closely with Data Scientists, ML Engineers, and DevOps teams to operationalize cutting-edge machine learning solutions and optimize the end-to-end ML lifecycle.
Job Requirements
- Design, implement, and maintain ML Ops pipelines for model training, deployment, monitoring, and retraining.
- Collaborate with Data Science teams to transition models from research to production.
- Automate workflows for data ingestion, feature engineering, and model evaluation.
- Ensure scalability, reliability, and performance of deployed ML systems.
- Implement monitoring tools to track model performance and detect drift.
- Stay informed about best practices in ML Ops, Data Science, and cloud-native deployments.
- 3–5 years of experience in Data Science and Machine Learning, with strong exposure to ML Ops practices.
- Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
- Experience with ML Ops tools (MLflow, Kubeflow, Airflow, SageMaker, Vertex AI, etc.).
- Strong understanding of CI/CD pipelines and containerization (Docker, Kubernetes).
- Knowledge of cloud platforms (AWS, Azure, GCP) for ML deployment.
- Familiarity with data processing tools (Spark, Pandas, etc.).
Education
- Bachelor’s or Master’s degree in Computer Science, Data Science, or related field.
- Experience with monitoring and logging tools for ML models.
- Exposure to Generative AI model deployment (optional but nice to have).
At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process.
Equal Opportunity Employer
NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification.
Why You'll Thrive at NetApp
At NetApp, you won't wait for the perfect moment—you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure.
NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security.
Our culture
We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed—they drive everything we do.
If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now.
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