[Hiring] Senior Machine Learning Engineer @Quantiphi

Role Description

We are seeking a Senior Machine Learning Engineer (MLE) to support a large-scale healthcare modernization initiative, working at the intersection of the Data Platform and AI layer. This role will focus on building and scaling AI model training, tuning, and deployment environments, while enabling advanced agentic workflows and search platforms.

You will play a critical role in taking ML/LLM solutions from experimentation to production, primarily within GCP (Vertex AI), with exposure to multi-cloud environments (Azure OpenAI / Azure ML). This is a hands-on, high-impact role ideal for someone with deep experience in LLMs, RAG architectures, and ML platform engineering.

Key Responsibilities

• ML Platform Engineering (GCP – Vertex AI)
  • Design and implement end-to-end ML workflows using Vertex AI Pipelines (Kubeflow v2)
  • Build and optimize model training and tuning pipelines (custom jobs, HPO with Vizier)
  • Deploy scalable models using Vertex AI Endpoints (online & batch inference)
  • Optimize models for performance and cost (quantization, ONNX, TensorRT)
  • Manage model lifecycle including experimentation, versioning, and monitoring
• LLM Development & Fine-Tuning
  • Fine-tune LLMs using SFT, RLHF/RLAIF, and parameter-efficient methods (LoRA, QLoRA)
  • Work with models such as Gemini, PaLM, Llama, Mistral
  • Build robust evaluation frameworks (BLEU, ROUGE, RAGAS, custom metrics)
  • Implement A/B testing and experiment tracking (Vertex AI / MLflow)
• RAG & Search Platform Development
  • Design and deploy end-to-end RAG pipelines (ingestion, chunking, embeddings, retrieval, reranking)
  • Build and optimize vector search systems using Vertex AI Vector Search or similar
  • Develop hybrid search architectures (dense + sparse retrieval, BM25, RRF)
  • Improve search relevance via query understanding, ranking models, and LLM-based enhancements
• Agentic AI & Workflow Orchestration
  • Build multi-step reasoning systems using LangChain, LlamaIndex, LangGraph, CrewAI, or AutoGen
  • Design and expose agent tools (Text-to-SQL, vector search, APIs, knowledge graph tools)
  • Implement memory and state management for multi-turn workflows
  • Develop secure and scalable prompt management and guardrails
• Data & ML Engineering
  • Build and maintain training data pipelines including labeling and dataset curation
  • Leverage Vertex AI Feature Store for feature management
  • Collaborate closely with data teams on data contracts and schema design
• MLOps & Productionization
  • Implement CI/CD pipelines for ML using Cloud Build & Artifact Registry
  • Manage model registry, deployment gates, and monitoring (drift, performance)
  • Support distributed training workloads (GPU/TPU, multi-node environments)
• Healthcare AI Applications
  • Work with clinical NLP pipelines (NER, entity extraction, classification)
  • Utilize healthcare data formats such as FHIR and de-identified datasets
  • Ensure solutions align with healthcare compliance standards (e.g., HIPAA)

Qualifications

• 5–10+ years of experience in Machine Learning / AI Engineering
• 2+ years of hands-on experience with LLMs / Generative AI in production
• Strong expertise in GCP Vertex AI (training, pipelines, deployment)
• Proficiency in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face)
• Experience building RAG systems or agentic workflows in production
• Solid understanding of embeddings, vector databases, and search systems
• Experience with API development (FastAPI, gRPC)

Requirements

• Experience with Azure ML / Azure OpenAI in a hybrid cloud environment
• Background in Healthcare / Clinical AI (FHIR, NLP, regulated datasets)
• Familiarity with distributed training (DeepSpeed, multi-GPU/TPU)
• GCP Professional ML Engineer certification
• Strong collaboration skills working across data, platform, and business teams
• Ability to communicate complex AI concepts to non-technical stakeholders
• Self-starter with experience working in client-facing, fast-paced environments
• Ability to scope, estimate, and deliver independently

Benefits

• Make an impact at one of the world’s fastest-growing AI-first digital engineering companies.
• Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues.
• Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines.
• Stay ahead of the curve, immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.
• If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!