Role Overview
Stats Perform is hiring a mid-level Software Engineer II. This is a full-time role in Saharanpur. Part of Stats Perform's Data Science hiring. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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Job Description
Overview
Stats Perform is the market leader in sports tech. We provide the most trusted sports data to some of the world's biggest organizations, across sports, media, and broadcasting.
Through the latest AI technologies and machine learning, we combine decades' worth of data with the latest in-game happenings. We then offer coaches, teams, professional bodies, and media channels around the world, access to the very best data, content, and insights. In turn, improving how sports fans interact with their favorite sports teams and competitions.
How do they use it?
- Media outlets add a little magic to their coverage with our stats and graphics packages.
- Sportsbooks can offer better predictions and more accurate odds.
- The world's top coaches are known to use our data to make critical team decisions.
- Sports commentators can engage with fans on a deeper level, using our stories and insights.
Anywhere you find sport, Stats Perform is there. However, data and tech are only half of the package. We need great people to fuel the engine.
We succeeded thanks to a team of amazing people. They spend their days collecting, analyzing, and interpreting data from a wide range of live sporting events. If you combine this real-time data with our 40-year-old archives, elite journalists, camera operators, copywriters, the latest in AI wizardry, and a host of 'behind the scenes' support staff, you've got all the ingredients to make it a magical experience!
Responsibilities
We are seeking a highly skilled Python Developer with strong expertise in web scraping and hands-on experience with cloud-native technologies. The ideal candidate will also have exposure to AI/ML workflows and a solid background in working with cloud (AWS), CI/CD pipelines, and container orchestration (Kubernetes).
Required Qualifications
- Design, develop, and maintain Python-based AI/LLM applications with seamless integration using Lang Chain, Docling, and other LLM libraries.
- Build pipelines for document parsing, knowledge extraction, and intelligent automation.
- Collaborate with data scientists and AI researchers to integrate ML/LLM models into production-grade systems.
- Implement best practices for CI/CD (Argo CD, Git) and manage AI workflows on Kubernetes (K8s).
- Deploy scalable applications leveraging cloud services (AWS preferred) with strong monitoring and observability.
- Integrate logging and monitoring tools (Prometheus, Grafana, ELK, CloudWatch) for performance and reliability.
- Ensure high availability, scalability, and security of deployed solutions.
- Participate in architecture discussions and contribute to improving AI infrastructure.
Desired Qualifications
- 3+ years of experience in Python development.
- Proven experience with Lang Chain, Docling, and other LLM frameworks/libraries.
- Hands-on experience in LLM integration with APIs, vector databases, and retrieval-augmented generation (RAG).
- Strong knowledge of Git and CI/CD pipelines with Argo CD.
- Good understanding of Kubernetes (K8s) for AI/ML workload orchestration.
- Familiarity with cloud platforms (AWS preferred – Lambda, CloudWatch, IAM, S3).
- Experience with logging and monitoring tools (Prometheus, Grafana, ELK, CloudWatch).
- Experience with vector databases (Pinecone, FAISS, Chroma, Milvus).
- Knowledge of prompt engineering, fine-tuning, and model evaluation.
- Familiarity with AI/ML pipelines (MLflow, Kubeflow, Hugging Face).
- Understanding of microservices and distributed architectures.
Why work at Stats Perform?
We love sports, but we love diverse thinking more!
We know that diversity brings creativity, so we invite people from all backgrounds to join us. At Stats Perform you can make a difference, by using your skills and experience every day, you'll feel valued and respected for your contribution.
We take care of our colleagues
We like happy and healthy colleagues. You will benefit from things like Mental Health Days Off, ‘No Meeting Fridays,’ and flexible working schedules.
We pull together to build a better workplace and world for all.
We encourage employees to take part in charitable activities, utilize their 2 days of Volunteering Time Off, support our environmental efforts, and be actively involved in Employee Resource Groups.
Diversity, Equity, and Inclusion at Stats Perform
By joining Stats Perform, you'll be part of a team that celebrates diversity. A team that is dedicated to creating an inclusive atmosphere where everyone feels valued and welcome. All employees are collectively responsible for developing and maintaining an inclusive environment. That is why our Diversity, Equity, and Inclusion goals underpin our core values.
With increased diversity comes increased innovation and creativity. Ensuring we're best placed to serve our clients and communities. Stats Perform is committed to seeking diversity, equity, and inclusion in all we do.
Frequently Asked Questions
How do I apply for the Software Engineer II position at Stats Perform?
Use the Apply button above to submit your application directly to Stats Perform. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Software Engineer II position at Stats Perform located?
This position is based in Saharanpur. Stats Perform has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a Software Engineer II at Stats Perform earn?
Stats Perform has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Software Engineer II role at Stats Perform posted?
This role was posted on March 23, 2026 (88 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
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