Hi All,
We are Hiring GenAi Developers for one of our clients.
Job location : Hyderabad (Only Immediate joiners for other locations)
Skill : GenAI Lead
Notice : Max 30 days
Job Location : Hyderabad
Expereicne-5+ Yrs
- Architect and develop end to end Gen AI and machine learning solutions, focusing on scalability, performance, and modularity, in collaboration with DDIT teams to ensure alignment with enterprise architecture standards.
- Design, train, and fine tune Large Language Models (LLMs) like GPT, Claude, or Cohere for various applications or pilots, working closely with DDIT to leverage existing data infrastructure and tools .
- Optimize AI systems for deployment on cloud platforms such as AWS, Azure, Snowflake, or Databricks , ensuring high performance and cost efficiency, in partnership with DDIT to utilize best practices and cloud resources.
- Develop APIs and integrate AI models into existing enterprise systems for seamless business adoption, coordinating with DDIT to ensure compatibility and security.
- Collaborate with data scientists, software engineers, IDS colleagues, DDIT, and business teams to turn complex requirements into pilot AI solutions, ensuring cross functional alignment and support.
- Stay updated on the latest advancements in AI, especially in LLM architectures, generative AI, and model optimization techniques, and share insights with DDIT to foster continuous improvement and innovation.
- Conduct technical reviews, ensure code quality, and enforce best practices in AI development and deployment, in collaboration with DDIT to maintain high standards and compliance.
- Maintain the analytics workbench along with the data science team, ensuring integration with DDIT's data management and analytics platforms
Additional qualifications are as follows :
Advanced degree in Computer Science, Engineering, or a related field (PhD preferred).5+ years of experience in AI / ML engineering (data engineering could be appropriate depending on experience), with at least 2 years focusing on designing and deploying LLM based solutions .Strong proficiency in building AI / ML architectures and deploying models at scale.Deep knowledge of LLMsand experience in fine tuning and applying them in business contexts.Knowledge of containerization technologies (Docker, Kubernetes) and CI / CD pip