AI / ML Engineer

Overview

Design and build AI-driven applications and systems that leverage AI and cloud services, integrating generative AI models into scalable, production-ready pipelines on cloud or on-premises infrastructure.

What you'll do

• Act as an SME, collaborate with and manage the team, and take responsibility for team decisions.
• Engage with multiple teams and contribute to key decisions.
• Provide solutions to problems for the immediate team and across multiple teams.
• Lead the development and deployment of AI models, ensuring alignment with project goals and timelines.
• Facilitate knowledge sharing and mentoring within the team to foster continuous learning and improvement.
• Coordinate with stakeholders to gather requirements and translate them into technical solutions.
• Monitor and evaluate the performance of AI systems, implementing improvements as necessary.

What you'll need

• Minimum 5 years of experience in Data Science.
• 15 years of full-time education.
• Proficiency in Data Science.
• Strong programming skills in languages commonly used in data science such as Python or R.
• Experience with machine learning frameworks and libraries including TensorFlow, PyTorch, or similar.
• Knowledge of cloud platforms and services relevant to AI deployment, such as AWS, Azure, or Google Cloud.
• Ability to work with large datasets, including data preprocessing, feature engineering, and model evaluation.
• Familiarity with AI model lifecycle management and deployment pipelines.

Details

• Based at the Gurugram office.