Senior AI/ML Engineer

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 modern 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