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Tech Stack
Tools & technologiesFlaskPython
About the role
Key responsibilities & impact- Design, build, and maintain end-to-end MLOps and LLMOps pipelines covering experimentation, training, deployment, monitoring, and retraining.
- Operationalize ML and LLM models for production environments with high availability and scalability.
- Implement best practices for model versioning, artifact management, and reproducibility.
- Develop and maintain CI/CD/CT pipelines for ML and GenAI workloads.
- Automate model packaging, deployment, validation, and rollback processes.
- Enable scalable and secure model serving for batch and real-time use cases.
- Monitor model performance, data drift, and model drift in production environments.
- Collaborate with cross-functional teams including Data Engineering, Data Science, Platform Engineering, and Cyber/Compliance teams.
Requirements
What you’ll need- 4–7 years of hands-on experience in Machine Learning with strong operationalization and production delivery exposure.
- Strong programming experience in Python.
- Experience building REST APIs for ML/AI services using Flask, FastAPI, or similar frameworks.
- Strong hands-on experience with CI/CD / CT pipelines for ML workloads.
- Solid understanding of MLOps principles, including model lifecycle management and automation.
- Bachelors / master’s degree in data science, AI, Gen AI, or AI/ML.
- Engineering or quantitative background preferred.
- Exceptional client engagement and stakeholder management skills.
- Strong problem-solving skills with the ability to translate complex business requirements into practical, high-quality technical solutions.
- Excellent communication, presentation, and leadership abilities.
Benefits
Comp & perks- Competitive salary
- Flexible working hours
- Professional development budget
- Home office setup allowance
- Global team events
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Machine LearningMLOpsLLMOpsPythonREST APIsFlaskFastAPICI/CDCT pipelinesmodel lifecycle management
Soft Skills
client engagementstakeholder managementproblem-solvingcommunicationpresentationleadership