Role Overview: Lead the design and optimization of advanced RAG pipelines and model finetuning processes. Bridge the gap between prototype and enterprise-scale LLM deployment.
ResponsibilitiesKey Responsibilities
- Pipeline Ownership: Design and manage complex, multi-stage RAG pipelines ensuring low latency and high relevance.
- Model Optimization: Lead fine-tuning initiatives (PEFT/LoRA) for open-source models to
- improve domain-specific task performance.
- Advanced Evaluation: Develop automated evaluation frameworks (e.g., RAGAS) to continually measure LLM accuracy, context precision, and recall.
- Vector Strategy: Architect metadata filtering and hybrid search strategies within vector
- databases (e.g., Pinecone, Milvus).
- Team Mentorship: Guide junior analysts in prompt engineering, chunking strategies, and code quality.
- Tech Stack: Python, PyTorch/TensorFlow, LangChain, LlamaIndex, advanced embedding models.
- GenAI Skills: Deep expertise in advanced RAG (HyDE, parent-document retrieval), prompt optimization, and parameter-efficient fine-tuning.
- Qualifications: Bachelor’s/Master’s in CS/Data Science with 4–7 years in ML/AI, including 1+ years specifically working with LLMs.
Skills Required
- Bachelor's or Master's degree in Computer Science or Data Science
- 4-7 years of experience in machine learning or artificial intelligence
- At least 1 year of experience working specifically with large language models
- Proficiency with Python
- Experience with PyTorch or TensorFlow
- Experience with LangChain and LlamaIndex
- Experience with advanced embedding models
- Deep expertise in advanced RAG techniques, including HyDE and parent-document retrieval
- Expertise in prompt optimization and parameter-efficient fine-tuning
- Experience with vector databases such as Pinecone or Milvus
What We Do
Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.
