MLOps Engineer - Python Programming (3-8 yrs)

Job Description :

The MLOps Engineer will play a crucial role in ensuring the accuracy, performance, and stability of machine learning models used for forecasting and analytics.

This role involves continuous monitoring, maintenance, and improvement of ML pipelines, Docker images, and data synchronization processes to support reliable predictions and decision-making.

An ideal candidate should have :

- Overall experience of more than 6 Years, with experience in MLOps space is a must.

- Design and implement cloud solutions, build MLOps on cloud (AWS, Azure, or GCP)

- Build CI/CD pipelines orchestration by GitLab CI, GitHub Actions, Circle CI, Airflow or similar tools

- Data science model review, run the code refactoring and optimization containerization, deployment, versioning, and monitoring of its quality.

- Data science models testing, validation and tests automation.

- Programming languages like Python, Go, Ruby or Bash, good understanding of Linux, knowledge of frameworks such as scikit-learn, Keras, PyTorch, Tensorflow, etc.

- General understanding of AGILE Project Delivery process.

- Excellent written and verbal communication skills for coordinating across teams.

- Strong analytic mindset and logical thinking capability, strong QC mindset.

- Demonstrates consulting, creativity, critical thinking, project planning, and attention to detail capabilities.

- Knowledge of US/Europe pharmaceutical market and experience with pharmaceutical data would be a plus, but not a must.

As an MLOPs Engineer, the resource will do :

Qualification :

- UG : B.Tech/B.E Any Specialization (Computer Science preferred).

- Master's Degree : Data Science, Machine Learning, Statistics, Economics/Econometrics, Computer Science or related field

Nice to have :

- Any certifications on AI/ML/Data science would be an added advantage.