Associate - Ml Ops Job in Mpokket Financial Services Private Limited

Job Title: Associate ML Ops

Location: Bangalore

Department: Data Science

Employment Type: Full-time

Experience: 1 2 years

Job Overview

We are seeking a motivated and detail-oriented Associate ML Ops to join our Data Science team. In this role, you will be responsible for supporting the deployment, monitoring, and scaling of machine learning models in production environments. You ll collaborate closely with data scientists and engineers to build robust MLOps pipelines and ensure model reliability, scalability, and performance.

If you are passionate about bringing machine learning models to life and have hands-on experience in productionizing ML systems, we d love to hear from you.

Key Responsibilities

• Deploy and maintain machine learning models in production environments using best-in-class tools like Databricks and MLflow.
• Collaborate with data scientists to translate experimental models into scalable, production-ready systems.
• Monitor model performance, accuracy, and overall health through automated tools and custom strategies.
• Build and maintain RESTful APIs using Python frameworks such as Flask or Django to serve ML models.
• Write efficient and optimized SQL and NoSQL queries for data extraction and transformation.
• Apply software engineering best practices, including version control, testing, and documentation, to MLOps workflows.
• Work with Python libraries like Pandas, PySpark, scikit-learn, SQLAlchemy, and Requests.
• Troubleshoot issues related to model deployment, API performance, or data integration pipelines.

Minimum Qualifications

• Bachelor s or Master s degree in Computer Science, Statistics, Econometrics, Operations Research, or a related technical field.
• 1 2 years of hands-on experience in solving analytical or machine learning problems in production settings.

Must-Have Technical Skills

• Hands-on experience with Databricks and MLflow
• Proven expertise in deploying ML models in real-world applications
• Strong understanding of data structures, algorithms, OOP, and software engineering principles
• Experience building and maintaining REST APIs using Python
• Proficiency in SQL and NoSQL
• Excellent Python programming and debugging skills
• Familiarity with core Python libraries used in ML and data processing: Pandas, scikit-learn, PySpark, SQLAlchemy, etc.

Nice-to-Have Skills

• Exposure to Kafka for streaming and batch data processing
• Familiarity with Git and CI/CD pipelines
• Experience with Python multiprocessing or worker/queue systems
• Understanding of event-driven or asynchronous programming models

Why Join Us?

This is an exciting opportunity to work at the intersection of data science and engineering. You ll play a key role in productionizing cutting-edge models and ensuring they deliver real business impact.