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 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As an AI / Machine Learning Engineer, a typical day involves designing and building advanced applications and systems that integrate artificial intelligence technologies. This role requires working with cloud-based or on-premises environments to ensure solutions are production-ready and scalable. The engineer actively applies generative artificial intelligence models and explores various domains such as deep learning, neural networks, conversational agents, and image analysis. Collaboration with cross-functional teams to align technical implementations with project goals is a key aspect of daily activities, ensuring innovative and efficient AI-driven solutions are delivered.
Roles & Responsibilities:
- Expected to be an SME, collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Lead the integration of generative AI models into existing and new applications to enhance functionality and user experience.
- Mentor junior team members by sharing knowledge and guiding their technical growth.
- Coordinate with stakeholders to understand requirements and translate them into technical strategies.
- Continuously evaluate emerging AI technologies and recommend their adoption to improve project outcomes.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Large Language Models (LLMs).
- Experience in designing and deploying AI applications using cloud AI services and on-premises pipelines.
- Strong understanding of generative AI models and their practical applications.
- Familiarity with deep learning frameworks and neural network architectures.
- Ability to develop and optimize chatbots and image processing solutions.
- Skilled in ensuring production-ready quality and scalability of AI systems.
Additional Information:
- The candidate should have minimum 8 years of experience in Large Language Models (LLMs).
- This position is based at our DDC2A - SEZ location.
- A 15 years full time education is required.
Gurugram
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