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 : Large Language Models (LLMs), Data Science, Machine Learning (ML)
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 application pipelines to deliver solutions that meet production standards. The work often includes applying generative AI models and exploring various AI domains such as deep learning, neural networks, conversational agents, and image analysis. Collaboration with cross-functional teams to ensure seamless deployment and continuous improvement of AI-driven solutions is a key aspect of the daily routine.
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 AI and machine learning concepts.
- Ensure the quality and scalability of AI applications through rigorous testing and optimization.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Large Language Models (LLMs), Machine Learning (ML), Data Science.
- Strong experience in designing and implementing AI models, particularly generative AI techniques.
- Familiarity with cloud AI platforms and services for deploying scalable AI solutions.
- Ability to develop and maintain production-ready AI pipelines, ensuring robustness and efficiency.
- Knowledge of deep learning frameworks and neural network architectures.
- Experience with natural language processing and image processing methodologies.
Additional Information:
- The candidate should have minimum 3 years of experience in Large Language Models (LLMs).
- This position is based at our Bengaluru office.
- A 15 years full time education is required.
