Architect large language models (LLM) that can process and generate natural language. Design neural network parameters, trained on large quantities of unlabeled text data.
Responsibilities
Expected to be a SME with deep knowledge and experience.
Should have Influencing and Advisory skills.
Responsible for team decisions.
Engage with multiple teams and contribute on key decisions.
Expected to provide solutions to problems that apply across multiple teams.
Architect large language models (LLM) that can process and generate natural language, design neural network parameters, and manage extensive datasets to ensure effective model performance.
Locations (2)
Bengaluru, Karnataka, India
Pune, Maharashtra, India
Responsibilities
Design and structure advanced language models
Plan neural network configurations
Manage large-scale unlabeled text datasets
Develop and fine‑tune models for natural language understanding and generation
Evaluate performance and troubleshoot complex language models
Architect large language models (LLM) that can process and generate natural language, design neural network parameters, and manage extensive datasets to ensure effective model performance.
Locations (2)
Hyderabad
Pune
Responsibilities
Design and structure advanced language models
Plan neural network configurations
Manage large-scale unlabeled text datasets
Develop and fine-tune models for natural language understanding and generation
Evaluate performance and troubleshoot complex language models
Architect large language models (LLM) that can process and generate natural language, design neural network parameters, and train on large quantities of unlabeled text data.
Architect large language models (LLM) that can process and generate natural language, design neural network parameters, and manage extensive datasets to ensure effective model performance.
Locations (2)
Mumbai, Maharashtra, India
Pune, Maharashtra, India
Responsibilities
Design and structure advanced language models
Plan neural network configurations
Manage large-scale unlabeled text datasets
Develop and fine-tune models for natural language understanding and generation
Evaluate performance and troubleshoot complex language models
As an AI / ML Engineer, a typical day involves designing and building advanced applications and systems that leverage artificial intelligence technologies.
Locations (2)
Mumbai, Maharashtra, India
Pune, Maharashtra, 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 the design and implementation of AI solutions that meet project requirements and quality standards.
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)
Chennai, Tamil Nadu, India
Pune, Maharashtra, 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 the design and implementation of AI solutions that meet project requirements and quality standards.