Project Role : Data Science Practitioner

Project Role Description : Formulating, design and deliver AI/ML-based decision-making frameworks and models for business outcomes. Measure and justify AI/ML based solution values.

Must have skills : Machine Learning Operations

Good to have skills : NA

Minimum 7.5 Year(s) Of Experience Is Required

Educational Qualification : 15 years full time education

Summary:

As a Data Science Practitioner, you will be engaged in formulating, designing, and delivering AI and machine learning-based decision-making frameworks and models that drive business outcomes. Your typical day will involve collaborating with various teams to measure and justify the value of AI and machine learning solutions, ensuring that they align with organizational goals and deliver tangible results. You will also be responsible for analyzing data, developing models, and presenting findings to stakeholders, all while fostering an environment of innovation and continuous improvement.

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.
Facilitate knowledge sharing and mentorship within the team to enhance overall capabilities.
Continuously evaluate and improve existing processes and frameworks to optimize performance.

Professional & Technical Skills:

Must To Have Skills: Proficiency in Machine Learning Operations.
Good To Have Skills: Experience with cloud platforms such as AWS or Azure.
Strong understanding of model deployment and monitoring techniques.
Experience with version control systems like Git.
Familiarity with containerization technologies such as Docker.

Additional Information:

The candidate should have minimum 7.5 years of experience in Machine Learning Operations.
This position is based at our Bengaluru office.
A 15 years full time education is required.

Summary: Seeking a forward-thinking professional with an AI-first mindset to design, develop, and deploy enterprise-grade solutions using Generative and Agentic AI frameworks that drive innovation, efficiency, and business transformation.

Roles & Responsibilities: Lead AI-driven solution design and delivery by applying GenAI and Agentic AI to address complex business challenges, automate processes, and integrate intelligent insights into enterprise workflows for measurable impact.

Professional & Technical Skills: Strong grasp of Generative and Agentic AI, prompt engineering, and AI evaluation frameworks. Ability to align AI capabilities with business objectives while ensuring scalability, responsible use, and tangible value realization