ML OPS Data Science Engineer
- Cognizant
- 8 - 13 years
- Hyderabad
- 5 days ago
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Job Description
Hiring for ML OPS Data Science Engineer.
Experience: 8 years to 13 years
Job Location: Hyderabad, Bangalore, Chennai, Kolkata, Pune
Please find the detailed Job Description below:
Key Responsibilities
- Design and automate end-to-end ML pipelines (CI/CD, CT) for training, evaluation, and deployment.
- Productionize ML models into clean, modular, and maintainable codebases.
- Implement versioning and governance practices for data, code, and models.
- Monitor model performance, data drift, and system reliability.
- Collaborate with cross-functional teams to deliver scalable ML solutions.
Must-Have Skills
- Minimum 6 years of experience in Data Science, Minimum 2 years in ML OPS.
- Strong proficiency in Python and SQL.
- Experience with Apache Spark or similar frameworks for large-scale data processing.
- Hands-on experience with CI/CD tools (e.g., Azure DevOps).
- Familiarity with MLOps frameworks, model registries, and experiment tracking.
- Proficient in Git for version control.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data ScientistEmployement Type: Full timeContact Details:
Company: CognizantLocation(s): Hyderabad
Keyskills: Data Science Machine Learning Azure Devops Python SQL Spark
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