Role Overview Looking for a Lead/Senior AI/ML Engineer with strong 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.
- Strong 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)
🏢 GyanSys
📍 Bengaluru