Role Overview Looking for a Lead/Senior AI/ML Engineer with robust hands-on experience in production ML/Deep Learning systems, model optimization, deployment, and MLOps.

The role will involve designing scalable AI solutions and providing technical leadership across AI/ML initiatives.

Key Responsibilities
Design, develop, and deploy production-grade ML, Deep Learning, and Reinforcement Learning solutions.
Work with PyTorch, TensorFlow, or JAX for model development and optimization.
Develop solutions using CNNs, Transformers, sequence models, and RL algorithms such as PPO, SAC, TD3, and CQL.
Optimize inference using TensorRT, ONNX, and Triton, balancing accuracy and latency.
Deploy and scale models using Docker, Kubernetes, AKS/ARO, and Azure ML.
Implement MLOps, CI/CD, model serving, monitoring, and lifecycle management.




Define AI/ML engineering standards and evaluation frameworks.
Mentor engineers and provide technical leadership.
Collaborate with stakeholders to deliver production AI solutions with measurable business impact.

Required Skills
7+ years of ML/AI experience with production ML/DL systems.
Solid Python and hands-on expertise with PyTorch/TensorFlow/JAX.
Solid understanding of Deep Learning, Transformers, CNNs, sequence models, and/or RL.
Experience with model serving, inference optimization, Docker, Kubernetes, Azure ML, and MLOps.
Strong understanding of applied mathematics, probability, linear algebra, and optimization.
Proven technical leadership and mentoring experience.

(ref:hirist.tech)

📌 Gyansys Lead/senior Ai/ml Engineer Deep Learning Bengaluru (India)
🏢 GyanSys
📍 India