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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 Operations
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 and cloud-based services. The role requires integrating these solutions into robust pipelines that are ready for production environments, ensuring seamless deployment and operation. The work may encompass a variety of innovative areas such as generative artificial intelligence models, deep learning architectures, neural networks, conversational agents, and image analysis. Collaboration with cross-functional teams to refine and enhance these intelligent systems is a key aspect of daily activities, fostering continuous improvement and innovation.
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 Operations
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 and cloud-based services. The role requires integrating these solutions into robust pipelines that are ready for production environments, ensuring seamless deployment and operation. The work may encompass a variety of innovative areas such as generative artificial intelligence models, deep learning architectures, neural networks, conversational agents, and image analysis. Collaboration with cross-functional teams to refine and enhance these intelligent systems is a key aspect of daily activities, fostering continuous improvement and innovation.
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 team members to optimize and scale AI and machine learning models for production use.
- Assist in documenting technical processes and best practices to support knowledge sharing within the team.
- Support junior team members by providing guidance and sharing expertise to foster their professional growth.
- Must To Have Skills: Proficiency in Machine Learning (ML).
- Experience with designing and implementing AI models including generative AI and deep learning techniques.
- Strong understanding of neural network architectures and their applications.
- Familiarity with cloud AI services and deployment pipelines for scalable solutions.
- Ability to work with image processing and chatbot technologies as part of AI solutions.
- The candidate should have minimum 3 years of experience in Machine Learning (ML).
- This position is based at our Hyderabad office.
- A 15 years full time education is required.
More Info
Key Skills
Generative AI
Deployment Pipelines
Chatbot Technologies
Cloud AI Services

