
🎯 About Us
Stupa builds cutting-edge AI for real-time sports intelligence ; automated commentary, player tracking, non-contact biomechanics, ball trajectory, LED graphics, and broadcast-grade stats. Your models will be seen live by millions across global events.
🌍 Global Travel
Work that literally travels the world. You’ll deploy systems at international tournaments across Asia, Europe, and the Middle East, working inside world-class stadiums, courts, and TV production rooms.
✨ What You’ll Build
- AI Language Products
- Automated live commentary (LLM + ASR + OCR), real-time subtitles, AI storytelling.
- Non-Contact Measurement (CV + Tracking + Pose Estimation)
- Player velocity, footwork, acceleration, shot recognition, 2D/3D reconstruction, real-time edge inference.
- End-to-End Streaming Pipelines
- Temporal segmentation, multi-modal fusion, low-latency edge + cloud deployment.
🧠 What You’ll Do
Train and optimise ML/CV/NLP models for live sports, build tracking & pose pipelines, create LLM/ASR-based commentary systems, deploy on edge/cloud, ship rapid POCs→production, manage datasets & accuracy, and collaborate with product, engineering, and broadcast teams.
🧩 Requirements
Core Skills:
- Strong ML fundamentals (NLP/CV/multimodal)
- PyTorch/TensorFlow, transformers, ASR or pose estimation
- Data pipelines, optimisation, evaluation
- Deployment (Docker, ONNX, TensorRT, FastAPI, K8s, edge GPU)
- Strong Python engineering
Bonus: Sports analytics, LLM fine-tuning, low-latency optimisation, prior production ML systems.
🌟 Why Join Us
- Your models go LIVE in global sports broadcasts
- International travel for tournaments
- High ownership, zero bureaucracy
- Build India’s most advanced AI × Sports product
- Cool, futuristic problems + freedom to innovate
- Up to ₹40LPA for exceptional talent
🔥 You Belong Here If You…
Build what the world hasn’t seen • Want impact on live sports • Thrive in fast-paced ownership-driven environments.

About Stupa Sports Analytics
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Role & Responsibilities
· Collect, clean, and analyze large structured and unstructured datasets from multiple internal and external sources
· Conduct thorough exploratory data analysis (EDA) to understand data distributions, relationships, outliers, and missing value patterns
· Profile and audit datasets to assess data quality, completeness, consistency, and fitness for modeling
· Investigate and document data lineage — understanding where data originates, how it flows, and how it transforms across systems
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· Translate raw, messy, real-world data into clean, well-understood analytical datasets ready for modeling and reporting
· Apply statistical techniques such as correlation analysis, hypothesis testing, variance analysis, and distribution fitting to extract meaningful signals from noise
· Build and deploy machine learning models including regression, classification, clustering, NLP, and time-series analysis
· Design, evaluate, and analyze A/B experiments and controlled tests using causal inference techniques
· Develop data-driven recommendations backed by rigorous statistical reasoning
· Write clean, production-ready code in Python or R
· Collaborate with data engineers to build reliable data pipelines and feature stores
· Deploy and monitor ML models using MLOps best practices on cloud infrastructure
· Build dashboards and self-serve analytics tools to support stakeholder decision-making
Data Understanding & Analysis Skills
· Strong ability to interrogate unfamiliar datasets and quickly develop a working understanding of their structure, semantics, and quirks
· Experience working with messy, incomplete, or poorly documented real-world data
· Skilled in identifying hidden patterns, trends, seasonality, and anomalies through visual and statistical exploration
· Ability to ask the right questions about data — challenging assumptions, validating sources, and understanding the context in which data was collected
· Proficiency in data profiling, descriptive statistics, and summary reporting to communicate the shape and health of a dataset
· Experience creating data dictionaries, documentation, and data quality reports to support team-wide data understanding
· Comfort working across structured (relational tables), semi-structured (JSON, XML), and unstructured (text, logs, sensor streams) data formats
Technical Skills Required
· Proficiency in Python (pandas, NumPy, scikit-learn, PyTorch or TensorFlow) and/or R
· Strong SQL skills with hands-on experience in DB2 and SQL Server
· Experience with Databricks for large-scale data processing, feature engineering, and model training
· Familiarity with cloud platforms: Azure or AWS
· Experience with data warehouses and big data platforms (Databricks, Snowflake, or Redshift)
· Knowledge of MLOps tools such as MLflow, Kubeflow, or Airflow
· Experience with streaming data technologies such as Kafka or Spark
· Solid foundation in probability, statistics, linear algebra, and experimental design
Nice to Have
· Experience with deep learning, NLP, computer vision, or Bayesian methods
· Familiarity with real-time or streaming data pipelines
· Open-source contributions or published research
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Type: Hybrid(Gurgaon); Paid
Joining: Immediate
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Exceptional communication skills (both verbal and written).
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Self-motivated with diligent work ethic, Experience with CRM applications.
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Data-driven mindset.
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1-2 years of experience as an Inside Sales Representative in SaaS/ B2B.
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● Worked on Splashscreen, Animation, AsyncStorage, Axios, Redux with thunk, standard code
structure with reusable components (must).
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required.
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Role: Software Developer
Industry Type: IT-Software, Software Services
Role Category: Programming & Design
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- 4 year degree in or equivalent experience
- 8+ years of engineering (software development) experience
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- Proficient in building high performing APIs and writing specs
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- Team-orientated, passionate about developing others’ skills and capabilities
- Successful track record of working in large scale technology solutions
- Deep understanding of agile development processes and methodology including continuous integration and delivery, with a mindset of building incrementally and delivering business value quickly
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About Unacademy:
Headquartered in Bengaluru, Unacademy is India’s largest learning platform that brings expert educators together with millions of students in need of quality education. Unacademy, since its inception in 2010, has earned the trust and gained recognition from countless learners and has provided opportunities to several thousands of Educators to actively participate in the education revolution it has undertaken.
We are changing the way India learns, one lesson at a need of quality education
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Good experience in IT or Non IT recruitment .
Willingness & ability to handle end to end recruitment including internal recruitment.
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