Senior AI ML Engineer

10 - 16 years

40 - 65 Lacs

Posted:1 day ago| Platform: Naukri logo

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Job Type

Full Time

Job Description


Hello AI ML Folks,

Optum

Primary Skills: Vertex AI, AI ML, LLMs, NLP, Deep Learning, GCP Cloud, Google ADK, GenAI, Python, DialogFlow CX, CICD, Docker, Kubernetes

Experience: 10+ yrs

Location: Bangalore & Chennai

Notice Period: Immediate to 45 days

We are seeking a Senior AI Engineer who will operate as an individual contributor while demonstrating leadership capabilities in driving AI initiatives. The ideal candidate will have deep expertise in machine learning (ML), deep learning (DL), and deploying solutions on Google Cloud Platform (GCP). Experience with Dialogflow CX, Vertex AI, Python, LLMs, Agentic AI systems, and Googles AI Development Kit (ADK) is essential. A solid GitHub presence showcasing real-world projects is highly valued.

Primary 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

Interested can share their updated CV at arshad_mohammad@optum.com.

Regards,

Arshad Ayub - Talent Scout

Deputy Manager - TA

Optum

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