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 : Python (Programming Language), Amazon Web Services (AWS)
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As an AI / ML Engineer, your day involves designing and building advanced applications and systems that leverage artificial intelligence technologies and cloud services. You will work on integrating generative AI models into solutions, ensuring that these applications are production-ready and scalable. Your role may also encompass developing deep learning models, neural networks, chatbots, and image processing systems, all while managing deployment pipelines either on cloud platforms or on-premises environments. Collaboration with cross-functional teams to align AI capabilities with business needs is a key part of your 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 requirements and translate them into technical solutions.
- Continuously monitor and optimize AI models and systems for performance and reliability.
- Document processes and solutions to facilitate knowledge sharing within the team.
- Support junior team members by providing guidance and sharing best practices.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Large Language Models (LLMs), Python (Programming Language), Amazon Web Services (AWS).
- Good To Have Skills: Experience with Python (Programming Language), Amazon Web Services (AWS).
- Strong understanding of natural language processing techniques and model fine-tuning.
- Experience in developing and deploying AI models in cloud or hybrid environments.
- Familiarity with deep learning frameworks and neural network architectures.
- Ability to design scalable AI pipelines and integrate generative AI models into applications.
Additional Information:
- The candidate should have minimum 3 years of experience in Large Language Models (LLMs).
- This position is based at our DDC5E - SEZ location.
- A 15 years full time education is required.
Gurugram
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