ML Ops Devops
- Publicis Sapient
- 6 - 11 years
- Delhi, NCR
- 21 days ago
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Job Description
Key Responsibilities:
- Design, develop and maintain end-to-end MLOps pipelines for model deployment, monitoring, maintenance, and scalability.
- Automate the retraining, testing, and validation processes for ML models.
- Collaborate with cross-functional teams, including data science, software engineering and DevOps, to integrate ML models into production systems.
- Monitor model performance, diagnose issues, and implement improvements.
- Ensure scalability, reliability, and compliance of ML systems in production.
- Optimize infrastructure costs while maintaining high system performance.
- Stay up-to-date with the latest developments in MLOps, machine learning and AI, and apply new techniques to improve existing models and processes.
Qualifications:
- Education: Bachelors or Masters degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field.
- Experience:
- Solid experience as a MLOps Engineer, Machine Learning Engineer, DevOps Engineer, or similar role.
- Experience in the retail industry or e-commerce is highly desirable.
- Technical Skills:
- Strong experience with Infrastructure as Code frameworks and languages (Terraform, Bicep or ARM)
- Strong programming skills in Python and experience with ML frameworks (TensorFlow, PyTorch, etc.).
- Hands-on experience with containerization (Docker) and orchestration tools (Kubernetes).
- Proficiency in CI/CD tools and cloud platforms (AWS, Azure, or Google Cloud).
- Knowledge of model monitoring and evaluation metrics.
- Familiarity with version control systems, such as Git, and model versioning tools like MLflow or DVC.
- Experience with Generative AI product deployment is desirable.
- Experience with big data using Databricks, Snowflake, Apache Spark or Hadoop is desirable. some of these
- System level architecture understanding including scaling, MLOps, model/data monitoring, and ensuring a deterministic pipeline.
- Soft Skills:
- Strong problem-solving skills with the ability to work independently and collaboratively in a fast-paced environment.
- Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
- A proactive attitude and a passion for continuous learning and innovation.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Machine Learning EngineerEmployement Type: ContractContact Details:
Company: Publicis SapientLocation(s): Delhi, NCR+ View Contact
Keyskills: Terraform Machine Learning Operations Devops Python Docker Ci/Cd Kubernetes
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₹ 18-30 Lacs P.A
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