MLOps Engineer (Pipelines | AIML deployments | Analytics)

We are seeking a talented and motivated MLOps Engineer, with a strong background in Python and prior experience deployment production grade MLOps pipelines to join our data team. The ideal candidate will be responsible for designing, building, and maintaining the company's data and machine learning infrastructure, ensuring that data is collected, stored, and processed efficiently and accurately through orchestration and RESTful APIs.

Responsibilities:

• Design, develop, and maintain robust data pipelines for data processing, ML model training, evaluation, and deployment.
• Collaborate with data scientists and engineers to ensure seamless integration of ML models into production environments.
• Implement and manage MLOps tools and frameworks, such as Airflow, Prefect, Kestra, MLflow, and Docker, to streamline ML workflows.
• Collaborate with the software engineering team to integrate data infrastructure into the company's overall technology stack
• Build APIs to interact with the existind data infrastructure and databases (PostgreSQL, MongoDB)
• Ensure data quality, consistency, and security throughout the ML lifecycle.
• Contribute to the development of CI/CD pipelines for ML models.
• Stay up-to-date with the latest advancements in MLOps and machine learning technologies.

Requirements

• BE/BTech or MS/ME/MTech in Computer Science or related field.
• Strong profeciency in Python programming
• Expertise in RESTful API development, data processing, and analytics.
• Experience with MLOps tools and frameworks (Airflow, Prefect, Kestra, MLflow, Docker)
• Experience with SQL/NoSQL databases, such as PostgreSQL and MongoDB.
• Familiarity with data engineering concepts and tools
• Experience with code management platforms like Github and CI/CD
• Knowledge of cloud platforms, such as AWS/Azure.
• Ability to work in a fast-paced, collaborative environment and deliver high-quality results.

Nice to haves

• Previous experience in an MLOps Data Engineer role
• Experience working with an AI product based Startup
• Working knowledge of Time-series data and supported libraries/databases
• Contributions to the Open-Source community

If you are a driven and self-motivated individual with a passion for data engineering, MLOps, and Cloud and have a strong background in Python, we would love to hear from you!