EXL

Analyzes business data and runs outsourced operations

Data Scientist

Natural Language Processing & LLMsConfirmed live in the last 24 hours

Full-timeNoida, Uttar Pradesh, IndiaNo salary listedIn-person

About the Job

Requirements

Experience with programming in Python, SQL, NoSQL, and Spark, as well as machine-learning tools and cloud technologies including AWS, Azure, and GCP.
Deep understanding of machine-learning algorithms for common use cases in structured and unstructured data systems.
Three to six years of practitioner experience in data science and experience with generative AI and large language model tools, including LangChain, retrieval-augmented generation pipelines, embeddings and vector databases, multimodal large language models, and fine-tuning techniques.
Experience building FastAPI-based services and Dockerized deployments.
Experience building production-grade generative AI solutions.
Familiarity with multi-agent architectures and orchestration.
Exposure to enterprise analytics or business intelligence tools such as Power BI, Tableau, or other visualization tools.
Experience collaborating with user interface and user experience teams to deliver AI-driven solutions.
Strong understanding of AI system evaluation, generative AI pipelines, AI application monitoring, and guardrails.
A Bachelor of Technology or Bachelor of Engineering degree; graduation from a Tier-1 institute is preferred.

Experience with Programming (Python, SQL, NoSQL, Spark) and ML tools and cloud technologies (AWS, Azure, GCP).
Deep understanding of ML algorithms for common use cases in both structured and unstructured data systems.
- Experience with GenAI/ LLM tools (3-6 years practitioner in data science): LangChain, RAG pipelines, Embeddings & vector databases, Multi-modal LLMs, Fine-tuning techniques ()
Experience in building FastAPI-based services and Dockerized deployments
Experience building production-grade GenAI solutions
Familiarity with:
- Multi-agent architectures and orchestration
Exposure to enterprise analytics / BI tools:
- Power BI, Tableau, or other visualization tools
Experience collaborating with UI/UX teams for AI-driven solution delivery

Strong understanding of AI system evaluation, GenAI pipeline, AI application monitoring, and guardrails
B.Tech / B.E. (Preferably from Tier-1 institutes)

Experience with Programming (Python, SQL, NoSQL, Spark) and ML tools and cloud technologies (AWS, Azure, GCP).
Deep understanding of ML algorithms for common use cases in both structured and unstructured data systems.
- Experience with GenAL/ LLM tools: LangChain, RAG pipelines, Embeddings & vector databases, Multi-modal LLMs, Fine-tuning techniques
Experience in building FastAPI-based services and Dockerized deployments
Experience building production-grade GenAI solutions
Familiarity with:
- Multi-agent architectures and orchestration
Exposure to enterprise analytics / BI tools:
- Power BI, Tableau, or other visualization tools
Experience collaborating with UI/UX teams for AI-driven solution delivery

About the Company

EXL

Analyzes business data and runs outsourced operations

EXL analyzes business data and runs outsourced operations for insurers, healthcare payers, banks, retailers, and other large organizations. Its teams combine industry expertise with data engineering and AI to handle tasks such as claims processing, payment reviews, customer service, and finance within existing technology environments. The company also builds software, including LifePRO, which manages insurance policies, and EXLdata.ai, which connects fragmented data for use in AI systems. Clients pay for consulting projects, ongoing managed services, and software delivered through the cloud. EXL was founded in 1999 and is headquartered in New York City.

Company size: 10,001+
Company stage: IPO
Headquarters: New York City, New York
Founded: 1999

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