Primary Responsibilities:

- Design, develop, and deploy advanced GenAI and NLP solutions to solve complex business and healthcare problems, using stateoftheart transformer models, LLMs, and modern ML frameworks.
- Lead the predictive maintenance practice for critical medical imaging equipment (MRI and CT Scanners).
- Experience with streaming data, IOT architectures and tools, Edge devices and Systems integration
- Lead research, evaluation, and integration of new LLMs (GPT, Claude, Gemini, Anthropic), vector search technologies, promptengineering techniques, and enterprise GenAI platforms.
- Build and optimize RetrievalAugmented Generation (RAG) systems using vector databases (FAISS, Pinecone, Chroma), improving grounding, retrieval accuracy, and overall system reliability.
- Architect and implement agentic AI workflows using frameworks like LangGraph, AutoGen, CrewAI, or Semantic Kernel, enabling singleagent and multiagent systems for reasoning, planning, and toolcalling.
- Drive the development of highquality NLP pipelinesincluding tokenization, embeddings, seqtoseq models, evaluation metrics, and domain adaptation—with a focus on performance, scalability, and robustness.
- Perform advanced data analysis, preprocessing, and feature engineering to ensure data quality, reduce noise, and improve model reliability.
- Develop and maintain scalable bigdata pipelines for ingestion, processing, and analysis, working with structured and unstructured datasets.
- Optimize model inference, latency, and throughput, including integration with LLM gateways, guardrails, filters, and enterprise evaluation frameworks.
- Lead experimentation cycles, comparing model variants, evaluating prompt strategies, measuring LLM performance, and driving data- and metricdriven decisionmaking.
- Collaborate with data engineering, platform, ML, product,



and domain teams to identify AI opportunities and translate them into actionable technical solutions.
- Author highquality design documents, evaluation reports, model cards, and reproducible research artifacts.
- Mentor junior ML/GenAI engineers on best practices in prompt engineering, RAG design, NLP experimentation, and responsible AI principles.
- Stay ahead of the rapidly evolving GenAI/NLP landscape—LLM releases, vector search innovations, evaluation techniques, and agentic frameworks—and introduce relevant capabilities to the organization.
- Support deployment of productiongrade GenAI systems with attention to monitoring, drift detection, safety, and ongoing reliability.
- Comply with company policies, employment terms, and organizational directives.

Qualifications - External

Required Qualifications:

- Bachelor's degree or higher in computer science or engineering with a focus on language processing.
- Experience in Predictive Maintenance (using AI), IOT (Internet of Things), Sensors, Smart Manufacturing, Uptime of MRI and CT Scan machines, PHM (Prognostics and Health management), Digital Twins
- Experience with Time series models including foundational models, Signal processing, Anomaly detection, Remaining Useful life (RUL) of equipment
- 7 years of experience in AI, ML and/or NLP R&D; (with demonstrable impact preferred). This requirement maybe relaxed for candidates with a PhD
- 10 years of overall experience
- Experience with both traditional machine learning algorithms and contemporary deep learning and generative AI models
- Proven good knowledge of and hands-on skills with repository management and GPU use, and the ability to rapidly set up pipelines for testing new ideas
- Proficiency in Python, R, SQL and other programming languages for data analysis and modeling
- Proficiency with cloud development environments such as Azure, AWS, and GCP
- Proven excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify root causes and recommend solutions

📌 Senior AI/ML Engineer (Hyderabad)
🏢 Optum
📍 Hyderabad