AI / ML Engineer

Overview

Design and build applications and systems that integrate AI technologies and cloud-based services, managing deployment pipelines for cloud and on-premises environments to deliver production-ready, scalable solutions.

What you'll do

• Lead the integration of artificial intelligence models into production environments, ensuring robustness and reliability.
• Incorporate generative AI models into projects, which may include deep learning frameworks, neural network architectures, conversational agents, and image analysis tools.
• 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, providing solutions to problems for the immediate team and across teams.
• Coordinate with stakeholders to align project objectives with technical deliverables.
• Mentor junior team members by sharing knowledge and guiding their technical growth.
• Continuously evaluate emerging AI technologies to enhance existing systems and processes.

What you'll need

• Minimum 5 years of experience in Machine Learning Operations.
• Proficiency in Machine Learning Operations.
• Experience with cloud platforms and deployment pipelines for AI applications.
• Strong understanding of generative artificial intelligence models and their practical applications.
• Familiarity with deep learning techniques, neural networks, and related frameworks.
• Ability to develop and maintain scalable AI systems in both cloud and on-premises environments.
• Skilled in troubleshooting and optimizing AI model performance in production settings.
• 15 years full time education.

Details

• Based at the BDC7C - SEZ office.
• Location: Bengaluru.