EXL

GenAI Data Scientist

EXL
Noida,Bangalore ,Gurugram
Not disclosed
1 - 5 Years
Posted:
30+ days ago
Full time
Applicants:
1
Job Description
  • Model Development: Research, design, and develop state-of-the-art generative models such as GPT, GANs, VAEs, or diffusion models for tasks like text generation, summarization, reasoning, Q&A, or predictive analytics.
  • Fine-Tuning: Fine-tune pre-trained models (e.g., Llama3, Mistral, OpenAI GPT, BERT, T5) to meet domain-specific requirements.
  • Data Preparation: Clean, preprocess, and structure large datasets to train, validate, and test generative AI models.
  • Deployment: Implement scalable solutions for deploying generative AI models in production environments using tools like Docker, Kubernetes, or cloud platforms (AWS, GCP, Azure).
  • Collaboration: Work closely with cross-functional teams, including product managers, engineers, and stakeholders, to align AI solutions with business goals.
  • Evaluation: Develop metrics and benchmarks to evaluate model performance and ensure quality outputs.
  • Research: Stay up to date with the latest advancements in AI/ML, particularly in generative AI techniques, and propose innovative solutions.
  • Ethical AI Practices: Ensure ethical considerations are addressed in model development, including fairness, accountability, and explainability. Experience of architecting AI systems to solve complex business problems.
  • Build advanced RAG pipelines, text chunking, and retrieval, LLM Prompt Engineering, using Vector Databases. Implement right LLM selection based on use cases and client criteria (GPT-4, Llama2, Mistral, Claude, Gemini, Flan, BERT) while managing trifecta of accuracy, cost, and latency/scale.
  • Develop, fine-tune, context tune and implement state-of-the-art NLP models including Large Language Models like GPT, Llama3.1, Claude, BLOOM, Flan-T5, Falcon etc. fine-tuning PEFT LoRa/QLoRa adapters
  • design AI systems & architectures, while considering good Responsible AI standards and AI Governance.
  • Build Agentic AI, AutoGen, Muti-agents use cases, AI Autonomous Agents and LLM orchestration architectures for enterprise data at scale in Python.
  • Hands on experience with complementary technologies around LLMs like embedders, vector databases (chroma, weaviate etc.), orchestration tools like Langchain, LlamaIndex etc.
  • Conduct research and experimentation to improve existing models and propose novel approaches.
  • Collaborate with cross-functional teams to integrate generative AI solutions into real-world applications.
  • Stay up-to-date with the latest advancements in deep learning and generative models and apply them to enhance our AI capabilities.
  • Document research findings, prepare technical reports, and contribute to whitepaper/scientific publications.
  • Provide deep leadership and coaching in the project delivery lifecycle. Focus on shared learning, continuous improvement, and drive adoption of best practices.



Role: Data Scientist

Industry Type: Analytics / KPO / Research

Department: Data Science & Analytics

Employment Type: Full Time, Permanent

Role Category: Data Science & Machine Learning

Education

UG: B.Tech/B.E. in Any Specialization





About the company

EXL has successfully transitioned from a BPO provider to a global AI-first analytics powerhouse, leveraging data, machine learning, and domain knowledge to transform industries. With robust financials, enterprise-grade AI solutions, and strategic alliances, it’s well positioned for continued growth—despite internal challenges like career-path development in some regional offices EXL started with business process outsourcing and has grown into an AI-powered analytics and digital operations leader, serving sectors like insurance, healthcare, banking, financial services, retail, media, communications, energy, and infrastructure.From our beginnings in business process services to becoming a global leader in data and AI, EXL has over 25 years of proven experience redefining whats possible for our clients. We empower businesses across industries like insurance, healthcare, banking and capital markets, retail, communications and media, and energy and infrastructure. By combining data, AI, and deep industry expertise, we drive transformation and growth for those we serve

Job Requirment
Role:
GenAI Data Scientist
Industry:
Analytics / KPO / Research
Department:
Data Science & Analytics data
Employment Type:
Full time
Education
Graduate
Skills
NLP
Communication Skills
Team work
Problem solving
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