AI / ML Engineer

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 (LLMs) Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education

Summary:

As an AI / ML Engineer, a typical day involves designing and building advanced applications and systems that leverage artificial intelligence technologies. This role requires integrating cloud-based AI services or on-premises application pipelines to deliver solutions that meet production standards. The work often includes applying generative AI models and exploring various AI domains such as deep learning, neural networks, conversational agents, and image analysis. Collaboration with cross-functional teams to ensure seamless deployment and continuous improvement of AI-driven solutions is a key aspect of daily activities.

Roles & 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.
• Support junior team members by sharing knowledge and providing guidance.
• Ensure the quality and scalability of AI applications through rigorous testing and optimization.

Professional & Technical Skills:

• Must To Have Skills: Proficiency in Large Language Models (LLMs).
• Experience with designing and deploying AI models in cloud or on-premises environments.
• Strong understanding of generative AI techniques and their practical applications.
• Familiarity with deep learning frameworks and neural network architectures.
• Ability to develop and maintain production-ready AI pipelines.
• Knowledge of chatbot development and image processing methodologies.