AI ML Engineer

Overview

Develop AI initiatives and solutions as an individual contributor.

Responsibilities

• Design, develop, and deploy ML/DL models using Vertex AI, Python, and GCP-native tools
• Build and optimize conversational AI agents using Dialogflow CX, integrating with APIs and backend systems
• Develop and fine-tune Large Language Models (LLMs) for various NLP tasks, including summarization, classification, and question answering
• Implement Agentic AI systems that can autonomously plan, reason, and execute tasks using LLMs and orchestration frameworks
• Leverage Google ADK to build, test, and deploy scalable AI applications aligned with GCP best practices
• Integrate and experiment with Agentic AI frameworks to enhance autonomous decision-making and task execution capabilities
• Collaborate cross-functionally with engineering and product teams to translate business needs into scalable AI solutions
• Maintain and showcase code and projects on GitHub, ensuring reproducibility and collaboration
• Monitor model performance, conduct A/B testing, and iterate based on feedback and metrics
• Automate ML workflows using CI/CD pipelines, Docker, Kubernetes, and MLOps best practices

Qualifications

• BTECH or BE