Experience: 3.00 + years
Salary: INR 4000000-4500000 / year (based on experience)
Expected Notice Period: 30 Days
Shift: (GMT+05:30) Asia/Kolkata (IST)
Opportunity Type: Remote
Placement Type: Full Time Permanent position(Payroll and Compliance to be managed by: Ellipse)
(*Note: This is a requirement for one of Uplers client - Ellipse)
What do you need for this opportunity
Must have skills required:
maintainable pipelines. Great communication and documentation habits. Interest in sports analytics (particularly cricket)., Understanding of the ML lifecycle and MLOps concepts. Experience with Docker; cloud experience (AWS/GCP). Strong problem-solving skills and ability to build reliable, Airflow, Degree in Computer Science, Engineering, or a related technical field. 3+ years in ML Engineering, or Data Science. Strong Python (pandas/numpy) and Git experience. Familiarity with workflow orchestration (Dagster, Prefect). Experience with messaging/queuing systems (Celery, RabbitMQ). Understanding of the ML lifecycle and MLOps concepts., Software Engineering, Kafka
Ellipse is Looking for:
Machine Learning Engineer (Full-Time)
CricViz is looking for a Machine Learning Engineer to help build and operate the high-performance
ML systems behind our industry-leading cricket intelligence products including WinViz,
PitchViz, Player Impact, and more. You'll work at the intersection of data engineering, MLOps, and
applied sports analytics, turning analytical Python workflows into scalable, production-ready
pipelines.
The role is embedded within the Data Science team, working closely with data scientists to
translate analytical work into production-ready systems. This is a chance to apply your expertise to
a world-class sports product that impacts how broadcasters, teams, and fans understand the
game.
What You'll Do
- Build and maintain robust, scalable ETL pipelines for batch and real-time cricket data.
- Orchestrate workflows using tools like Dagster and Celery.
- Support the full ML model lifecycle data preparation, feature generation, model
execution, evaluation, and deployment.
- Contribute to the design and implementation of feature engineering pipelines across
products like WinViz, PitchViz, and Impact.
- Implement observability, logging, monitoring, and retry logic to ensure reliability.
- Participate in model evaluation and backtesting to ensure reliability before deployment.
- Modernize and refactor legacy processes for maintainability and performance.
- Contribute to shared infrastructure such as schema standards, deployment templates, and
tooling.
What We're Looking For
- Degree in Computer Science, Engineering, or a related technical field.
- 3+ years in ML Engineering, Software Engineering, or Data Science.
- Strong Python (pandas/numpy) and Git experience.
- Familiarity with workflow orchestration (Dagster, Airflow, Prefect).
- Experience with messaging/queuing systems (Celery, Kafka, RabbitMQ).
- Understanding of the ML lifecycle and MLOps concepts.
- Experience with Docker; cloud experience (AWS/GCP).
- Strong problem-solving skills and ability to build reliable, maintainable pipelines.
- Great communication and documentation habits.
- Interest in sports analytics (particularly cricket).
Equality and Diversity:
CricViz is committed to building an open and inclusive culture that supports personal development
and learning. Ellipse believes in the principle of equal opportunity in employment and its
employment policies for recruitment, training, development and promotion despite any differences
based on individual grounds of race, colour, nationality, religion or belief, sex, sexual orientation,
marital status, age, ethnic and national origin, disability or gender reassignment.
About CricViz:
CricViz has established itself as the market leader in the collection, analysis and dissemination of
data across the world's leading cricket competitions. CricViz has the largest and most
sophisticated database in world cricket. This creates unique opportunities for the company to
become the world leader in cricket insight and analysis.
Our work spans several verticals, including Performance Analysis, Broadcast and Media, and
Fantasy and Gaming platforms. As CricViz continues to grow, we are looking to scale rapidly to
capitalize on our vast potential.
About Ellipse:
CricViz is part of Ellipse, a leading sports data and analytics company comprising CricViz,
FootballViz, Horse Racing, RugbyViz (Oval and Stuart Farmer Media Services), and TennisViz.
Working with the world's biggest broadcasters, professional teams, and rights holders, we simplify
complex data to engage a broad and diverse audience and tell better stories about the sports we
love.
How to apply for this opportunity
- Step 1: Click On Apply! And Register or Login on our portal.
- Step 2: Complete the Screening Form & Upload updated Resume
- Step 3: Increase your chances to get shortlisted & meet the client for the Interview!
About Uplers:
Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement.
(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).
So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!
