600000 - 1000000 INR - Yearly
Pune, Maharashtra, India
Information Technology
Full-Time
GAMES PRO INDIA PRIVATE LIMITED
Overview
We're Hiring: Machine Learning Engineer
Location: Gurugram (Hybrid)
Industry: Mobile Gaming | Real Money Gaming | AI-Powered Entertainment
Experience: 2–3 Years
Join Games Pro India Pvt. Ltd. and help build cutting-edge AI systems and LLM-native infrastructure for the future of gaming.
Key Responsibilities:
- Build and maintain LLM-powered pipelines for entity extraction, ontology normalization, Q&A, and knowledge graph creation using tools like LangChain, LangGraph, and CrewAI.
- Fine-tune and deploy open-source LLMs (e.g., LLaMA, Gemma, DeepSeek, Mistral) for real-time gaming applications.
- Define evaluation frameworks to assess accuracy, efficiency, hallucinations, and long-term performance; integrate human-in-the-loop feedback.
- Collaborate cross-functionally with data scientists, game developers, product teams, and curators to build impactful AI solutions.
- Stay current with the LLM ecosystem and drive adoption of cutting-edge tools, models, and methods.
Qualifications:
- 2–3 years of experience as an ML engineer, data scientist, or data engineer working on NLP or information extraction.
- Strong Python programming skills and experience building production-ready codebases.
- Hands-on experience with LLM frameworks/tooling such as LangChain, Hugging Face, OpenAI APIs, Transformers.
- Familiarity with one or more LLM families (e.g., LLaMA, Mistral, DeepSeek, Gemma) and prompt engineering best practices.
- Strong grasp of ML/DL fundamentals and experience with tools like PyTorch or TensorFlow.
- Ability to communicate ideas clearly, iterate quickly, and thrive in a fast-paced, product-
Interested candidate must share their resume on shruti.sharma@gamespro.in
contact no- 8076 310 357
#Hiring #MachineLearning #LLM #AIinGaming #LangChain #HuggingFace #GamingJobs #MLJobs #GamesProIndia #TechCareers #GurugramJobs #DeepLearning #PythonJobs
Job Type: Full-time
Pay: ₹600,000.00 - ₹1,000,000.00 per year
Schedule:
- Day shift
Work Location: In person
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