Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution.
Responsibilities
Expected to be an SME, collaborate and manage the team to perform.
Responsible for team decisions.
Engage with multiple teams and contribute on key decisions.
Provide solutions to problems for their immediate team and across multiple teams.
Lead the development and implementation of AI models to address complex challenges.
Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Locations (2)
Coimbatore, Tamil Nadu, India
Bengaluru, Karnataka, India
Responsibilities
Expected to perform independently and become an SME.
Required active participation/contribution in team discussions.
Contribute in providing solutions to work related problems.
Collaborate with stakeholders to understand requirements and translate them into technical solutions.
Continuously research and evaluate emerging AI technologies to enhance project outcomes.
Develop applications and systems that utilize AI tools, cloud AI services, and on-prem pipelines with production-ready quality, including generative AI models.
Locations (2)
Pune, Maharashtra, India
Bengaluru, Karnataka, India
Responsibilities
Design and build advanced AI applications
Integrate cloud-based AI services or on-premises pipelines
As a Large Language Model Architect, you will engage in the innovative design and architecture of large language models that are capable of processing and generating natural language.
Locations (2)
Pune, Maharashtra, India
Bengaluru, Karnataka, India
Responsibilities
Expected to perform independently and become an SME.
Required active participation/contribution in team discussions.
Contribute in providing solutions to work related problems.
Collaborate with data scientists and engineers to refine model architecture and improve performance.
Conduct experiments to evaluate the effectiveness of different model configurations and training methodologies.
Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Locations (2)
Kolkata, West Bengal, India
Bengaluru, Karnataka, India
Responsibilities
Expected to be an SME, collaborate and manage the team to perform.
Responsible for team decisions.
Engage with multiple teams and contribute on key decisions.
Provide solutions to problems for their immediate team and across multiple teams.
Lead efforts to identify and implement best practices for AI model deployment and maintenance.
Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Includes GenAI models, deep learning, neural networks, chatbots, and image processing.
Responsibilities
Expected to perform independently and become an SME.
Required active participation/contribution in team discussions.
Contribute in providing solutions to work related problems.
Collaborate with stakeholders to understand project requirements and translate them into technical solutions.
Continuously monitor and optimize AI models and systems to maintain high performance and reliability.
Lead research and development of a generative world model for healthcare, including pre‑training, scaling, and productionizing downstream applications.
Compensation
Competitive Salary and participation in our warrant program.
Responsibilities
Own and drive research and development across pre‑training and scaling of Cassandra
Improve end‑to‑end pre‑training pipeline, tokenization, architecture, training objectives, and scaling
Design experiments, develop new approaches, and translate research into improvements in model capabilities
Develop and productionize downstream applications such as risk prediction for resident falls
Explore new applications, forecasting changes in resident behavior, simulating care interventions
Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution.
Responsibilities
Design and build advanced AI applications and systems
Integrate generative AI models into scalable production pipelines
Collaborate across teams to ensure robust, efficient solutions
Lead evaluation and adoption of emerging AI technologies
AI Research Scientist / Engineer – Generative World ModelsTeton.ai · Copenhagen, Denmark