SporTech Innovation Lab Pvt Ltd

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, GitHub Copilot and other up-to-date generative AI tools to accelerate coding and debugging. • AI Frameworks & APIs: Proficient in LangChain, LlamaIndex, Haystack, OpenAI APIs, and emerging tools like MosaicML or OpenLLM for building retrieval-augmented and generative AI applications. • Programming Languages: Strong experience with Python and JavaScript/Node.js for development and integration. • Speech & Voice Tools: Experience with Whisper, Bhashini APIs and other cutting-edge multilingual speech-to-text and text-to-speech systems. • Version Control & Collaboration: Mastery of GitHub and collaborative workflows for code versioning and teamwork. • Soft Skills: Intellectual curiosity, clear communication, user-centered design thinking and a collaborative mindset. • Cloud & DevOps: Hands-on knowledge of cloud platforms (Azure, AWS, GCP), container orchestration with Kubernetes and cloud-native architecture design. • CI/CD & Automation: Skills in building automated testing, integration and deployment pipelines. • Data Privacy & Security: Familiarity with encryption, compliance standards and secure access controls in AI systems. • Monitoring & Quality Control: Ability to implement monitoring, logging and human-in-the- loop review systems for AI output validation.