AI/ML Engineer, Optum

AI & Machine Learning
India, Bengaluru
October 13, 2026
Full Time

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Job Description

Opum is recruiting for an AI/ML Engineer position in Bengaluru, where the candidate will work on developing and implementing intelligent systems that facilitate the creation of technology-based products and services. It entails the entire machine learning process life cycle, ranging from data preprocessing and training of models to deployment and maintenance of models. In addition, the job includes a generative AI pipeline, LLM use cases, RAG, prompt engineering, and agentic systems. Proficiency in Python coding helps in creating and deploying the models.

Location: Bengaluru, India 

Experience: 3–5 years 

Qualification: Bachelor’s Degree/Master’s Degree (Preferred)

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Responsibilities

  • Develop machine learning/deep learning models that can be used to solve business challenges and develop predictive applications.
  • Create pipelines to obtain, clean, transform, and prepare the data needed for training the models.
  • Train and test the models through statistical experiments and analysis to achieve high accuracy and efficiency.
  • Deploy the models in production environments and manage them using MLOps.
  • Design, optimize, and construct applications utilizing LLMs and agentic flows, including RAG and prompt engineering.

Qualifications

  • Knowledge in ML/Deep Learning platforms such as TensorFlow, PyTorch, Keras, and Scikit-Learn.
  • Experience in making use of APIs of language models such as Anthropic Claude, OpenAI, and Azure OpenAI.
  • Hands-on experience with building LLM workloads and agentic applications using LangGraph and LangChain.
  • Skills and expertise in machine learning, deep learning, statistics, RAG, embedding, vector databases.
  • Proficiency in Python, and experience with SQL, Pandas, Numpy, Pydantic and more.

Preferred Qualifications

  • Knowledge on deployment of AI & ML with Docker and Kubernetes.
  • Observability, evaluation, fine-tuning, and prompt optimization experience of LLMs.
  • Collaboration experience with Databricks and cloud vendors such as AWS, Google Cloud, and Azure.
  • Experience in deployment and maintenance of machine learning models using MLOps.
  • Experience with Open source contributions or portfolios containing AI/ML projects.

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