Architect, develop & deploy scalable robust AI/ML solutions 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, deep learning, neural networks, chatbots, image processing.
Must have skills: AI Agents & Workflow Integration
Minimum 5 year(s) of experience is required
Summary
As an AI / ML Engineer, a typical day involves designing and building advanced applications and systems that leverage artificial intelligence technologies and cloud services. The role requires production-ready Agentic AI solutions, integrating generative AI models, and working on diverse AI domains such as deep learning, neural networks, chatbots, and image processing. Collaboration with various teams to align project goals and deliver innovative AI-driven solutions is a key aspect of daily activities, ensuring seamless deployment and operational efficiency in both cloud and on-premises environments.
Roles & Responsibilities
- Expected to be an SME, collaborate with the cross functional teams for architecting AI Solutions
- Lead the architecture,
design and implementation of AI-driven workflows to enhance system capabilities that addresses busines needs and provided tangible value
- Responsible for decisions for requirement of the projects
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
Qualified & Technical Skills
- Must To Have Skills: Proficiency in AI Agents & Workflow Integration.
- Experience with designing and deploying AI applications using cloud AI services and on-premises infrastructure.
- Strong knowledge of generative AI models and their practical application within enterprise solutions.
- Familiarity with deep learning frameworks and neural network architectures.
- Ability to develop and optimize chatbots and image processing systems.
- Skilled in managing end-to-end AI solution pipelines ensuring production readiness and scalability.
Educational & Expereince Requirements
- The candidate should have minimum 5 years of experience in AI Agents & Workflow Integration.
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field with a strong quantitative focus on GenAI.
- Certifications in AI, Data Science