Lead/Sr : AI/ML Engineer + Data Scientist : Bangalore, ITPL: Hybrid

GyanSys Inc.; Bengaluru Urban; Hybrid; INR 4,000,000 - 7,000,000; Full time

Job summary

GyanSys Inc. in Bangalore invites an AI Technical Lead to architect and deliver production ML/AI systems. You will lead multiple DL/RL projects, optimize inference, and mentor engineers while defining standards and governance for the team.

The role requires hands-on expertise with PyTorch/TensorFlow/JAX, distributed training, Docker/Kubernetes, and cloud ML platforms. It is a hybrid position (3 days per week) at ITPL Whitefield, Bangalore, with immediate to 15 days notice.

Qualifications

• 7+ years in ML/AI with production DL and/or RL systems.
• Mastery of DL frameworks (PyTorch/TensorFlow/JAX) and strong applied math (linear algebra, probability, optimization).
• Deep learning across CNNs, transformers, and sequence models; RL agents (PPO, SAC, TD3, CQL).
• Inference optimization (TensorRT/ONNX/Triton) and accuracy vs. latency benchmarking.
• Model serving and containerized deployment at scale (Docker/Kubernetes, AKS/ARO).
• Cloud-scale training/inference on Azure ML with distributed training and MLOps/CI-CD.
• Ability to define standards, governance, and evaluation frameworks across a team.
• Proven technical leadership, mentoring, and stakeholder communication.
• Track record of 6-10 production deployments with measurable business impact.
• Nice to Have: Agentic AI architecture and RAG pipeline design.

Skills

Production ML/AI

DL Frameworks

Deep Learning

RL in production

Inference optimization

Model serving & containers

Cloud training

MLOps/CI-CD

Team leadership

Mentoring

Stakeholder comms

Production deployments

RAG pipelines

RL libraries

GPU efficiency

Domain experience

Tools

PyTorch

TensorFlow

JAX

TensorRT

ONNX

Docker

Kubernetes

Azure ML

CI/CD

RLlib

MuJoCo

LangGraph

CrewAI

Job description

Work Location: Bangalore, ITPL, Whitefield (Hybrid 3 days/week)

Job Title: AI Technical Lead

Experience: 7+ years in ML/AI (incl. DL/RL in production)

Notice Period: Immediate to max. 15 days Only

Positions: 3

Must-Have Skills

• 7+ years ML/AI with production DL and/or RL systems.
• Mastery of DL frameworks (PyTorch/TensorFlow/JAX) and strong applied math (linear algebra, probability, optimization).
• Deep learning across CNNs, transformers, and sequence models; RL agents (PPO, SAC, TD3, CQL).
• Inference optimization (TensorRT/ONNX/Triton) and accuracy vs. latency benchmarking.
• Model serving and containerized deployment at scale (Docker/Kubernetes, AKS/ARO).
• Cloud-scale training/inference on Azure ML with distributed training and MLOps/CI-CD.
• Ability to define standards, governance, and evaluation frameworks across a team.
• Proven technical leadership, mentoring, and stakeholder communication.
• Track record of 6-10 production deployments with measurable business impact.
• Nice to Have
• Agentic AI architecture (LangGraph, AutoGen, CrewAI) and RAG pipeline design.
• RL libraries (Ray RLlib, Stable-Baselines3, Gymnasium); multi-agent RL and simulation (MuJoCo).
• Model compression/quantization and GPU-efficiency optimization.
• Semiconductor, manufacturing, or supply-chain domain experience.