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 : Microsoft Azure Machine Learning
Good to have skills : Generative AI, Python (Programming Language)
Minimum 3 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 designing and implementing production-ready application pipelines, ensuring high-quality standards are met. You will also explore the integration of generative AI models into solutions, contributing to innovative projects that may encompass deep learning, neural networks, chatbots, and image processing. Collaboration with cross-functional teams will be essential as you work to deliver impactful AI-driven solutions.

Roles Responsibilities:
- Work independently on data science, machine learning, and GenAI initiatives, progressively establishing oneself as a Subject Matter Expert (SME).
- Analyze business and technical problems and propose effective, scalable AI/ML solutions.
- Collaborate closely with cross-functional teams to brainstorm, design, and implement innovative AI and agentic AI solutions.
- Build, test, validate, and optimize machine learning and generative AI models to ensure accuracy, robustness, and production readiness.
- Support end-to-end activities, including experimentation, deployment, and post-deployment monitoring.

Professional Technical Skills:
- Strong proficiency in Microsoft Azure Machine Learning, including model training, deployment, and pipeline orchestration.
- Hands-on experience with Generative AI/Agentic AI frameworks.
- Proficiency in Python programming
- Solid understanding of machine learning algorithms, statistical concepts, and real-world applications.
- Experience deploying and managing AI/ML models in cloud environments.
- Practical knowledge of data preprocessing, feature engineering, and model evaluation techniques.
- Hands on experience with CI/CD, Azure Devops, Azure Data factory
- The candidate should have minimum 4 years of experience in Microsoft Azure Machine Learning.
- This position is based at our Pune office.
- A 15 years full time education is required.


Qualification
15 years full time education