Artificial Intelligence and Machine Learning Engineer

AI / ML Engineer

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 : Databricks Unified Data Analytics Platform
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve creating production-ready solutions that incorporate Generative AI models, while also exploring various aspects of deep learning, neural networks, chatbots, and image processing. You will collaborate with cross-functional teams to ensure the seamless integration of AI technologies into existing systems, contributing to innovative projects that push the boundaries of technology.

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.
- Mentor junior team members to enhance their skills and knowledge in AI and machine learning.
- Continuously evaluate and improve existing AI models and systems to ensure optimal performance.
- exp in software engineering in AI/ML or GenAI, LangChain/LangGraph, AutoGen, CrewAI, Python, FastAPI/Django, Azure AI , Experience with streaming (Kafka/Event Hubs) and real-time agent workflows, model deployment

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Generative AI.
- Good To Have Skills: Experience with Databricks Unified Data Analytics Platform.
- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.
- Experience in developing and deploying machine learning models in cloud environments.
- Familiarity with data preprocessing and feature engineering techniques.

Additional Information:
- The candidate should have minimum 5 years of experience in Generative AI.
- This position is based at our Pune office.
- A 15 years full time education is required.