AIML/ Generative AI Engineer| 5

1 day ago

New Delhi, India Tekgence Inc Full time

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 daysJob Location: Hyderabad Expereicne-5+ Yrs Architect and developend to end Gen AIand 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 tuneLarge Language Models (LLMs) like GPT, Claude, or Cohere for various applications or pilots, working closely with DDIT to leverage existing data infrastructure and tools . OptimizeAI systems fordeployment 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 APIsandintegrate AI models into existing enterprise systemsfor 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 platformsAdditional 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), withat 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 ofLLMsandexperience in fine tuning and applying them in business contexts. Knowledge of containerization technologies (Docker, Kubernetes) and CI/CD pip

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