Senior Consultant - Rail Modelling & Simulation WSP in India

8.0 - 10.0 years

0 Lacs

bengaluru, karnataka, india

On-site

Job Description As a Senior Consultant Rail Modelling and Simulation at GCC, you will be part of a group that is a trusted advisory and delivery partner to transport businesses and governments both in the UK and overseas. You will work alongside rail operational consultants, engineers to lead development of analytical and visual models that demonstrate how rail systems can be operated. The role requires demonstrated experience in Agent based Modelling, ideally with Any Logic software experience, strategic and critical thinking together with understanding of how a railway system can be operated to deliver the outcomes of moving people and goods to deliver social, economic, and environmental v...

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Deployment Engineer Onzestt Services India Private Limited

7.0 - 12.0 years

6 - 11 Lacs

bengaluru, karnataka, india

On-site

Role Summary: This role focuses on deploying and managing advanced AI-driven systems, including multi-component architectures, agent-based models, and low-code/no-code platforms. The position requires strong technical expertise in cloud environments and AI infrastructure to ensure robust, scalable, and efficient system deployment. Technical Experience: Experience in deploying complex, multi-component systems, preferably in cloud environments such as Azure or AWS. Deep understanding of AI models, particularly LLMs, and the infrastructure required to operationalize and scale them. Familiarity with agent-based modelling systems and the technical nuances involved in their deployment. Hands-on ex...

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Python Developer Tata Consultancy Services

0.0 years

2 Lacs

bengaluru, karnataka, india

On-site

Reinforcement Learning: Strong understanding of the fundamentals of reinforcement learning, including concepts like Markov Decision Processes, Q-learning, and policy gradients. Experience with modern RL libraries like OpenAI Gym, Ray's RLlib, or Stable Baselines. Practical knowledge of reinforcement learning in non-stationary environments and using human feedback as rewards. Computational Skills: Proficiency in Python and other programming languages common in the AI/ML domain. Knowledge of GPU and TPU computation, especially in the context of deep learning. Deep Understanding of LLMs: Familiarity with the nuances of large language models, their strengths, and potential pitfalls. Awareness of...

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