Ml Ops Engineer Job in Mpokket Financial Services Private Limited

Job Title: ML Ops Engineer

Location: Bangalore

Department: Data Science

Employee Type: Full-time

Experience Required: 3 5 years

Position Overview

We are seeking an experienced and motivated ML Ops Engineer to join our Data Science team. In this role, you will be responsible for deploying, monitoring, and maintaining machine learning models in production environments. You will work closely with data scientists, engineers, and product teams to ensure models are scalable, reliable, and aligned with business objectives.

This role is ideal for professionals who are passionate about building robust ML pipelines and bringing machine learning solutions into real-world applications at scale.

Key Responsibilities

• Deploy and manage machine learning models in production environments, ensuring scalability, reliability, and performance.
• Build and maintain MLOps pipelines using platforms like Databricks and MLflow.
• Monitor model performance, accuracy, and health; implement alerting and diagnostics as needed.
• Develop and maintain RESTful APIs using Python frameworks such as Flask or Django to serve ML models.
• Optimize data workflows and collaborate with engineering teams to improve model integration and performance.
• Design strategies for automated model retraining, deployment, and version control.
• Write clean, maintainable, and efficient code using Python, adhering to OOP principles and best practices.
• Write complex queries using SQL and work with NoSQL databases to support data pipelines and feature stores.
• Leverage Python libraries such as PySpark, Pandas, scikit-learn, SQLAlchemy, and Requests.

Minimum Qualifications

• Bachelor s or Master s degree in Computer Science, Statistics, Econometrics, Operations Research, or a related technical field.
• 3 5 years of experience in building, deploying, and monitoring machine learning solutions in production.

Must-Have Skills

• Experience with Databricks and MLflow for model training and deployment.
• Proven expertise in machine learning model deployment and monitoring in live environments.
• Strong programming skills in Python, with solid understanding of data structures, algorithms, and OOP concepts.
• Experience developing RESTful APIs using Flask or Django.
• Proficient in SQL and NoSQL database operations.
• Hands-on knowledge of libraries such as Pandas, PySpark, scikit-learn, SQLAlchemy, and Requests.
• Strong analytical, problem-solving, and debugging skills.

Good-to-Have Skills

• Experience with Kafka streaming and batch processing.
• Familiarity with CI/CD pipelines and version control systems like Git.
• Understanding of Python multiprocessing, worker/queue systems, and asynchronous/event-driven programming.

Why Join Us?

This is a unique opportunity to work at the intersection of machine learning and DevOps. You'll play a critical role in operationalizing AI models and making them a core part of our product offerings. If you enjoy building scalable systems and solving real-world ML engineering challenges, we d love to meet you.