Senior Associate - ML Ops

mPokket Financial Services Private Limited; Bengaluru; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

mPokket Financial Services Private Limited is seeking a Senior Associate - ML Ops Engineer to enable insight from raw data and support data science initiatives.

You will work with the data science team, plan projects, and deploy ML models in production. Strong Python, Databricks, MLflow, and SQL/NoSQL skills are required to monitor model performance and health, while aligning data products with business goals.

Qualifications

• Bachelor's or Master's degree in Computer Science or related field.
• 3+ years of experience solving analytical problems using quantitative approaches.
• Experience deploying ML models in production environments.

Responsibilities

• Collaborate with data science team to plan projects and build analytics models.
• Help deploy and monitor ML models in production environments.
• Align data products with business goals to drive insights and decisions.

Skills

Databricks

MLflow

REST APIs

Python

SQL/NoSQL

PySpark

Pandas

scikit-learn

Requests

OOP concepts

Monitoring models

Data structures

Algorithms

Software engineering

Git

CI/CD

Kafka

Education

Bachelor's/Master in CS or related

Tools

Databricks

MLflow

Job description

We are looking for a Senior Associate - ML Ops Engineer to help us gain useful insight out of raw data. Senior 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.
• 3+ years of experience solving analytical problems using quantitative approaches.

Technical Skills -

Must have –

• Experience with Databricks and MLflow.
• 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.