Data Science Practitioner

• *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 :** Data Science, 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 an AI / ML Engineer, a typical day involves designing and building advanced applications and systems that leverage artificial intelligence technologies and cloud\-based AI services. The role requires managing the entire application pipeline, whether deployed on cloud platforms or on\-premises, ensuring solutions are production\-ready and scalable. The engineer integrates generative AI models into various projects, which may include deep learning frameworks, neural network architectures, conversational agents, and image processing techniques. Collaboration with cross\-functional teams to align technical solutions with project goals is a key aspect of daily activities, fostering innovation and efficiency in AI\-driven initiatives.

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.
• Lead the development and deployment of AI and machine learning models ensuring alignment with business objectives.
• Mentor junior team members to enhance their technical skills and project contributions.
• Coordinate with stakeholders to gather requirements and translate them into technical specifications.
• Continuously evaluate emerging AI technologies and recommend their adoption to improve system capabilities.

Professional \& Technical Skills

• Must To Have Skills: Proficiency in Machine Learning (ML), Machine Learning Operations.
• Strong knowledge of cloud AI services and their integration into scalable applications.
• Experience with generative AI models and their practical application in real\-world solutions.
• Familiarity with deep learning techniques, neural networks, and related frameworks.
• Ability to design and maintain robust application pipelines for both cloud and on\-premises environments.
• Skilled in developing AI\-driven solutions including chatbots and image processing systems.

Additional Information

• The candidate should have minimum 5 years of experience in Machine Learning (ML).
• This position is based at our Bengaluru office.
• A 15 years full time education is required.

15 years full time education