AI / ML Engineer role focused on building production-ready AI applications and systems using cloud or on-premises pipelines. The work includes applying GenAI and LLMs, with exposure to deep learning, neural networks, chatbots, and image processing.
Role: AI / ML Engineer
Location: BDC7A - SEZ
Experience
- Minimum 18 years of experience
- 18 years of experience in Large Language Models (LLMs)
- Subject matter expert with deep knowledge and experience
- Influencing and advisory skills
- Ability to engage with multiple teams and support team decisions
Qualification
- 15 years full time education
Responsibilities
- Design and build advanced AI applications and systems
- Deploy solutions on cloud platforms or on-premises environments
- Ensure applications are production-ready and scalable
- Integrate generative AI models into practical solutions
- Collaborate with stakeholders to align AI solutions with organizational goals and strategies
- Provide solutions across multiple teams and business area problems
- Evaluate emerging AI technologies and methodologies to improve systems and processes
- Mentor junior team members
Additional Responsibilities
- Balance development, testing, and optimization to deliver AI-driven products
More Skills Large Language Models (LLMs), AI tools, Cloud-based AI services, On-premises infrastructure, AI pipelines
Other
- Could include deep learning, neural networks, chatbots, and image processing
- The role is based at BDC7A - SEZ
Prepare for this role Recommended resources to build the skills for this position. Sponsored.
Generative AI with Large Language Models
Coursera
Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.
Large Language Models: Application through Production edX
Production-focused LLM course covering deployment, monitoring, and scaling.
Introduction to Generative AI
Coursera
Google Cloud introduction covering Gen AI concepts, model types, and Google AI tools.
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