A
AI / ML Engineer
A
- Posted 4 hours ago
- Be among the first 10 applicants
Job Description
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 : Generative AI
Good to have skills : NA
Minimum 5 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 or on-premises pipelines to ensure solutions are production-ready and scalable. The engineer works on implementing generative AI models as part of comprehensive solutions, which may include deep learning techniques, neural networks, conversational agents, and image processing tasks. Collaboration with various teams to align development efforts and maintain high-quality standards is a key aspect of daily activities, ensuring innovative and efficient AI-driven products are delivered consistently.
Roles & Responsibilities:
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 : Generative AI
Good to have skills : NA
Minimum 5 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 or on-premises pipelines to ensure solutions are production-ready and scalable. The engineer works on implementing generative AI models as part of comprehensive solutions, which may include deep learning techniques, neural networks, conversational agents, and image processing tasks. Collaboration with various teams to align development efforts and maintain high-quality standards is a key aspect of daily activities, ensuring innovative and efficient AI-driven products are delivered consistently.
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 design and implementation of AI solutions that meet project requirements and quality standards.
- Mentor junior team members to enhance their technical skills and understanding of AI technologies.
- Coordinate cross-functional efforts to ensure seamless integration of AI components within larger systems.
- Must To Have Skills: Proficiency in Generative AI.
- Experience with deep learning frameworks and neural network architectures.
- Strong knowledge of cloud AI services and deployment pipelines.
- Familiarity with chatbot development and natural language processing techniques.
- Ability to work with image processing algorithms and related AI models.
- The candidate should have minimum 5 years of experience in Generative AI.
- This position is based at our AMDC1A - NON-STPI location.
- A 15 years full time education is required.
More Info
Key Skills
Neural network architectures
Generative AI
Natural language processing techniques
Deep learning frameworks
Image processing algorithms
Deployment pipelines
Cloud AI services
Chatbot development

