Senior MLOps Engineer

Tekskills; Dadri; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Tekskills in NCR Location (WFO) is seeking a Senior MLOps Engineer to design and maintain end-to-end ML operations pipelines for deployment, monitoring and scalability. The role emphasizes automation of retraining, testing and validation of ML models.

You will collaborate with data science, software engineering and DevOps teams to productionize models, monitor performance and optimize costs, while ensuring reliability and compliance in production environments.

Qualifications

• Education in CS, data science, statistics, or applied mathematics with strong fundamentals.
• Solid experience as an MLOps/DevOps or related role.
• Retail/e‑commerce experience is a plus.

Responsibilities

• Design, develop and maintain end-to-end MLOps pipelines for deployment, monitoring, maintenance and scalability.
• Automate retraining, testing and validation of ML models.
• Collaborate with data science, software engineering and DevOps teams to productionize ML models.
• Monitor model performance, diagnose issues and implement improvements.
• Ensure scalable, reliable and compliant ML systems in production.
• Optimize infrastructure costs while preserving performance.
• Keep up-to-date with advances in MLOps and AI; apply new techniques.

Skills

MLOps

Python

Docker

Kubernetes

Terraform

Git

CI/CD

Cloud platforms

MLflow

Databricks

Education

Bachelor's or Master's in CS/DS/Stats/Applied Math

Tools

Terraform

Docker

Kubernetes

Job description

IMMEDIATE JOINERS ONLY

Job Title: Senior MLOps Engineer

Location: NCR Location (WFO)

Note: DevOps -Knowledge is fine

Experience Range: 6-12 years

Primary Key skills: MLOps

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 Master's 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, andensuring 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.