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AI / ML Engineer
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 : Machine Learning (ML), Generative AI, Large Language Models (LLMs), AGENTIC AI
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 solutions to create robust, production-ready pipelines. The engineer actively applies generative artificial intelligence models to enhance system capabilities and may work on diverse projects including deep learning, neural networks, conversational agents, and image processing. 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:
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 : Machine Learning (ML), Generative AI, Large Language Models (LLMs), AGENTIC AI
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 solutions to create robust, production-ready pipelines. The engineer actively applies generative artificial intelligence models to enhance system capabilities and may work on diverse projects including deep learning, neural networks, conversational agents, and image processing. 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 project requirements and translate them into technical solutions.
- Continuously research and evaluate emerging AI technologies to enhance existing systems.
- Assist junior team members by sharing knowledge and providing guidance on complex tasks.
- Ensure the quality and scalability of AI applications through rigorous testing and optimization.
- Must To Have Skills: Proficiency in Machine Learning (ML), Large Language Models (LLMs), Generative AI, AGENTIC AI.
- Strong experience in designing and implementing machine learning models and algorithms.
- Familiarity with cloud AI platforms and services for deploying scalable AI solutions.
- Knowledge of deep learning frameworks and neural network architectures.
- Ability to develop and maintain production-grade AI pipelines with a focus on reliability and performance.
- Experience in working with conversational AI systems and image processing techniques.
- The candidate should have minimum 3 years of experience in Machine Learning (ML).
- This position is based at our Chennai office.
- A 15 years full time education is required.
More Info
Key Skills
Generative AI
AGENTIC AI
Conversational AI
Cloud AI services
Machine Learning (ML)
Large Language Models (LLMs)


