Associate - ML Ops

mPokket Financial Services Private Limited; Bengaluru; On-site; INR 800,000 - 1,200,000; Full time

Job summary

mPokket Financial Services Private Limited is seeking an Associate - ML Ops Engineer to turn raw data into actionable insights. You will work with the data science team, plan projects, and build analytics models to support business decisions.

The role requires a strong foundation in data structures, algorithms, and production ML deployments, with proficiency in Python and RESTful API development. Bengaluru location preferred.

Qualifications

• Bachelor/Master degree in Computer Science, Operations Research, Econometrics, Statistics or related field.
• 1+ years of experience solving analytical problems using quantitative approaches.

Responsibilities

• Collaborate with data science team on project planning.
• Build analytics models and deploy ML solutions.
• Monitor model performance and health.
• Develop RESTful APIs using Python frameworks.
• Align data products with business goals.

Skills

Databricks

MLflow

Python

SQL/NoSQL

RESTful APIs

Pandas

Scikit-learn

Pyspark

Problem solving

Troubleshooting

Education

Bachelor/Master in CS/OR/Statistics

Tools

Flask/Django

SQL/NoSQL databases

Git

CI/CD

Job description

We are looking for a Associate - ML Ops Engineer to help us gain useful insight out of raw data. Associate - ML Ops Engineerresponsibilities include working with the data science team, planning projects and buildinganalytics models. You should have a strong problem-solving ability and a knack for statistical analysis. Ifyou’re also able to align our data products with our business goals, we’d like to meet you. Your ultimategoal will be to help improve our products and business decisions by making the most out of our data.

• Bachelor/ Master degree in Computer Science, Operations Research, Econometrics, Statistics orrelated technical field.
• 1+ years of experience solving analytical problems using quantitative approaches.

Technical Skills -

Must have –

• Experience with Databricks and ML flow.
• Experience deploying machine learning models in production environments.
• Expertise in data structures, algorithms, core object-oriented programming (OOP) concepts andsoftware engineering principles.
• Ability to develop and implement strategies for monitoring model performance, accuracy, andoverall health.
• Proficiency in developing and maintaining RESTful APIs using Python frameworks (e.g., Flask,Django).
• Strong ability to write database queries (SQL and NoSQL).
• Excellent problem-solving and troubleshooting skills in Python.
• Familiarity with Python libraries such as Pyspark, Pandas, scikit-learn, SQLAlchemy, and Requests.

Good to have –

• Expertise in Kafka Streaming and Batch processing.
• Familiarity with version control systems (e.g., Git) and CI/CD practices.
• Experience with Python multiprocessing and worker/queue systems.
• Understanding of event-driven or asynchronous programming, or at least a high-levelunderstanding.