Data Scientist ML Ops Engineer
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
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.
- 35 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
- Bachelors or Masters 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).
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
At NetApp, our top priority is the health and safety of our event attendees and employees, including every community around the world being impacted by COVID-19. As a result, we have decided to reimagine our annual NetApp INSIGHT Paris and Berlin events to be fully digital. We’re als ... View more
