Project Role : AI / ML Engineer
Project Role Description : 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.
Must have skills : Large Language Models
Good to have skills : NA
Minimum 18 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary: As an LLM Developer, Manages and optimizes the infrastructure supporting AI systems. Roles & Responsibilities: - Expected to be an SME, collaborate and manage the team to perform. - Responsible for team decisions. - Utilize cloud platforms (AWS, Azure, GCP) to build and manage AI infrastructure. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Develop applications and systems utilizing AI tools and Cloud AI services. - Design and implement scalable infrastructure solutions. - Monitor and maintain infrastructure performance and security. - Collaborate with development teams to ensure infrastructure meets project needs. - Works on Bill of Materials (BOM) and Tech Arch to be provided to client to set up Infrastructure. - Troubleshoot and resolve infrastructure-related issues. - Create a proper cloud or on-prem application pipeline with production-ready quality. - Maintain AI infrastructure, including data pipelines, model training and deployment pipelines, and monitoring and logging systems. - Stay updated with the latest advancements in AI and machine learning, and integrate innovative approaches for sustained competitive advantage. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Azure DevOps/AWS/GCP - Experience with cloud platforms such as AWS, Azure, or GCP - Good To Have Skills: Experience with cloud-based AI services. - Strong understanding of statistical analysis and machine learning algorithms. - Experience with data visualization tools such as Tableau or Power BI. - Extensive experience in infrastructure engineering. - Strong knowledge of cloud platforms and infrastructure technologies. - Excellent problem-solving and troubleshooting skills. - Ability to work in a fast-paced and dynamic environment. - Solid grasp of data munging techniques, including data cleaning, transformation, and normalization. Additional Information: - A 15 years full-time education is required.