[Hiring] Senior AI/ML Expert @MNR Technologies Global Private Limited

Role Description

We are looking for an AI/ML engineer who can build production-grade AI systems that operate in real-world environments. This role goes beyond experimentation—you will design, develop, and deploy robust AI systems across LLMs, computer vision, and autonomous systems, including simulation-driven development and robotics workflows. You should be comfortable owning problems end-to-end—from idea → architecture → deployment → scaling → business impact.

Key Responsibilities

• Design and build production-ready AI/ML systems with high reliability and scalability
• Work extensively with LLMs, RAG pipelines, and agentic frameworks
• Fine-tune and optimize models for real-world performance and efficiency
• Develop and deploy edge AI and computer vision solutions
• Architect and implement distributed, high-availability AI systems
• Optimize workloads across GPU architectures and compute environments
• Build on-demand LLM systems and intelligent automation pipelines
• Develop and research robotics teleoperation systems in simulation (MuJoCo, Isaac)
• Build scene and task generation toolchains in robotics simulators
• Develop reactive 3DGS-based end-to-end autonomous driving (E2E-AD) closed-loop simulators
• Deploy and train E2E-AD algorithms (UniAD, VAD, VADv2, etc.)

Qualifications

• 2–4 years of hands-on experience in AI/ML product development
• Strong experience with LLMs, RAG systems, and agentic AI workflows
• Solid background in computer vision and deep learning
• Experience with simulation environments (MuJoCo, Isaac, or similar)
• Understanding of GPU architecture and performance optimization
• Experience building scalable, distributed systems
• Strong foundation in algorithms, optimization, and system design
• Proficiency in Python and modern ML/DL frameworks
• Experience in end-to-end product development (not just research)
• Understanding of product-market fit and go-to-market strategies
• Ability to translate business problems into scalable AI solutions
• Exposure to business architecture and product commercialization is a plus
• Entrepreneurial mindset or prior experience building products

Nice to Have

• Experience with robotics, autonomous driving, or real-time AI systems
• Knowledge of MCP (Model Context Protocol) and advanced agent frameworks
• Exposure to AI-powered quantum technologies
• Advanced prompt engineering capabilities