About SporTech Innovation Lab
Founded in April 2021, SporTech Innovation Lab is India's first sports technology company to file
a patent. We're building a unified digital ecosystem for India's 404-412 million sports and eSports
participants, with a special focus on the 97% underserved rural and grassroots communities. Our
goal is to digitise and unify India's fragmented sports landscape, empowering athletes, coaches
and institutions with secure, user-controlled data and freely accessible tools.
Your Core Responsibilities
- Build AI systems that combine machine learning with data sources.
- Handle multilingual text and speech inputs and outputs.
- Create conversations that remember user context and preferences.
- Connect AI assistants with user profiles for personalization.
- Develop automated agents to perform tasks.
- Support ongoing dialogues with memory of previous interactions.
- Improve AI models to answer questions better.
- Implement data privacy and security measures.
- Design system architecture for data flow and service connections.
- Containerize and deploy AI services in scalable environments.
- Set up automated testing and deployment pipelines.
- Help create review processes for quality control of AI outputs.
Skills
AI / ML Fundamentals : Transformers, embeddings, retrieval models, context learning,prompt engineering and fine-tuning large language models (LLMs).
Generative AI Coding : Skilled with modern AI coding assistants like Claude Code, GitHubCopilot and other up-to-date generative AI tools to accelerate coding and debugging.
AI Frameworks & APIs : Proficient in LangChain, LlamaIndex, Haystack, OpenAI APIs, andemerging tools like MosaicML or OpenLLM for building retrieval-augmented and generative
AI applications.
Programming Languages : Strong experience with Python and JavaScript / Node.js fordevelopment and integration.
Speech & Voice Tools : Experience with Whisper, Bhashini APIs and other cutting-edgemultilingual speech-to-text and text-to-speech systems.
Version Control & Collaboration : Mastery of GitHub and collaborative workflows for codeversioning and teamwork.
Soft Skills : Intellectual curiosity, clear communication, user-centered design thinking and acollaborative mindset.
Cloud & DevOps : Hands-on knowledge of cloud platforms (Azure, AWS, GCP), containerorchestration with Kubernetes and cloud-native architecture design.
CI / CD & Automation : Skills in building automated testing, integration and deploymentpipelines.
Data Privacy & Security : Familiarity with encryption, compliance standards and secureaccess controls in AI systems.
Monitoring & Quality Control : Ability to implement monitoring, logging and human-in-the-loop review systems for AI output validation.