Senior AIML Engineer

Optum India; Hyderabad; On-site; INR 1,000,000 - 2,000,000; Full time

Job summary

A healthcare technology company in Hyderabad is seeking a skilled AI Engineer to design, develop, and deploy machine learning and deep learning models. The successful candidate will build and optimize conversational AI agents while mentoring junior engineers. A BTECH or BE degree is required, along with experience in Google Dialogflow and Vertex AI. This position offers the chance to work on cutting-edge AI technologies in a collaborative environment.

Qualifications

• BTECH or BE in a relevant field.
• Experience with Google Dialogflow and Vertex AI is required.
• Prior experience in developing AI solutions in Conversational AI.

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.
• Lead by example in technical design and mentoring junior engineers.
• Implement Agentic AI systems that plan, reason, and execute tasks using LLMs.
• Monitor model performance, conduct A/B tests, and iterate based on metrics.

Skills

Machine Learning

Deep Learning

Google Cloud Platform

Dialogflow CX

Large Language Models

CI/CD Pipelines

Docker

Kubernetes

Education

BTECH or BE

Job description

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
• Lead by example in technical design, code quality, and solution architecture, mentoring junior engineers informally
• 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 - External

Required Qualifications:

• BTECH or BE
• Experience in Google Dialogflow, Vertex AI
• Experience in Building AI solutions in Conversational AI