Time since we first saw it
Day 24
Similar jobs usually come down between day 4 and day 77.
At EXL Service, jobs usually come down by about day 21.
From 51 similar postings that came down, and 281 of EXL Service’s. Coming down is not always a hire.
Data Scientist
Reads like an AI Engineer role: building products on existing AI models.
Gurugram, Haryana, India
Likely evergreen, first seen by us 24 days ago- Pay
- Pay not listed
- Work setting
Hybrid — work setting source
Work setup in the employer’s posting: Hybrid
From the employer’s posting- Employment
- Not stated
What you’ll work on
Full postingDesign and implement agentic AI workflows using LangGraph, AutoGen, or LangChain
Architect and optimize scalable REST/WebSocket APIs for production
Develop, fine-tune, and integrate LLMs into enterprise applications
Deploy and maintain GenAI and agentic AI projects in production
Implement Neo4j graph databases for knowledge graph use cases
From the employer’s posting
Lead the design and implementation of agentic AI workflows using LangGraph, AutoGen, LangChain, or similar frameworks.
Architect and optimize scalable APIs (REST/WebSocket) for production deployment.
Develop, fine-tune, and integrate large language models into enterprise applications.
Deploy and maintain at least 3 GenAI/Agentic AI projects in production, ensuring reliability, scalability, and performance.
Implement graph databases (Neo4j) for knowledge graph-based use cases.
Education & alternatives
- Contributions to open-source AI/ML projects or published research in generative AI. - Bachelor’s or Master’s degree in Computer Science, Data Science, Data Engineering, AI/ML, or related field. - 3+ years of total professional experience in AI/ML, Data Science, or related fields.
- Practical knowledge of SQL, No-SQL, vector databases, and graph databases. Bachelor's/Master's in Engineering 2-5 years
Posting record
Report an errorLikely evergreenReposted 2 times since Sep 18, 2026. A role that keeps coming back is often kept open to collect applications rather than to fill one seat.
- Status in our records
- Live
- First seen by us
- Oct 20, 202624 days ago
- Recorded sightings
- 85
- Last seen by us
- Nov 13, 2026
- Reposted
- 2 times since Sep 18, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
How this job compares
EXL Service is hiring
211 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Takes jobs down at a usual pace
- 5% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- MongoDB
- Neo4j
- PyTorch
- TensorFlow
- PostgreSQL
Where the posting names them
- 3+ years of total professional experience in AI/ML, Data Science, or related fields. - 3+ years of hands-on experience in Python with strong software engineering practices. - At least 3 years of experience in AI/ML engineering, including 2+ years of hands-on experience in Generative AI /Agentic AI.
- Deploy and maintain at least 3 GenAI/Agentic AI projects in production, ensuring reliability, scalability, and performance. - Integrate SQL, No-SQL, and vector databases such as Postgres, MongoDB, and ChromaDB. - Implement graph databases (Neo4j) for knowledge graph-based use cases.
- Strong background in Data Science or Data Engineering, including data pipelines, ETL, and data modeling. - Practical knowledge of SQL, No-SQL, vector databases, and graph databases. Bachelor's/Master's in Engineering 2-5 years
- Integrate SQL, No-SQL, and vector databases such as Postgres, MongoDB, and ChromaDB. - Implement graph databases (Neo4j) for knowledge graph-based use cases. - Provide technical leadership and mentorship to engineering teams.
- At least 3 years of experience in AI/ML engineering, including 2+ years of hands-on experience in Generative AI /Agentic AI. - Hands-on experience with deep learning frameworks (PyTorch, TensorFlow). - Expertise in large language models (LLMs), prompt engineering, and fine-tuning.
Your next step
Complete your application on fa-ewjt-saasfaprod1.fa.ocs.oraclecloud.com. The employer’s form will show what is required.
Applying through Oracle Recruiting
- Applying starts by asking for your email address.
- Each employer sets which files it accepts, so read the note beside the upload field.
Already applied? Track this application
Has EXL Service posted this job before?
Yes. We’ve followed 6 other Data Scientist jobs there since October 2026. All 6 are still up.
Large employers often post one title for several teams, so these can be separate openings.
About EXL Service
- People
- About 65,000 in 2025, up 9% from the year before.Annual report (SEC Form 10-K)
- Company
- Listed as EXLS.
Demand for AI Engineer roles
New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under AI Engineer, by the work the posting describes.
AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.
Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.
An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.
Job description
- Lead the design and implementation of agentic AI workflows using LangGraph, AutoGen, LangChain, or similar frameworks.
- Architect and optimize scalable APIs (REST/WebSocket) for production deployment.
- Develop, fine-tune, and integrate large language models into enterprise applications.
- Deploy and maintain at least 3 GenAI/Agentic AI projects in production, ensuring reliability, scalability, and performance.
- Integrate SQL, No-SQL, and vector databases such as Postgres, MongoDB, and ChromaDB.
- Implement graph databases (Neo4j) for knowledge graph-based use cases.
- Provide technical leadership and mentorship to engineering teams.
- Collaborate with cross-functional stakeholders to identify and deliver GenAI solutions across multiple business domains.
- Ensure robustness, security, and compliance of deployed AI systems.
- Stay current with trends in GenAI, deep learning, and orchestration frameworks.
- Document and present technical solutions to both technical and non-technical audiences.
- Familiarity with LangGraph, AutoGen, LangChain, or similar agentic AI frameworks.
- Experience with multi-agent systems and orchestration of intelligent workflows.
- Knowledge of MLOps practices (CI/CD, model monitoring, retraining pipelines).
- Strong problem-solving skills and ability to thrive in fast-paced R&D environments.
- Contributions to open-source AI/ML projects or published research in generative AI.
- Bachelor’s or Master’s degree in Computer Science, Data Science, Data Engineering, AI/ML, or related field.
- 3+ years of total professional experience in AI/ML, Data Science, or related fields.
- 3+ years of hands-on experience in Python with strong software engineering practices.
- At least 3 years of experience in AI/ML engineering, including 2+ years of hands-on experience in Generative AI /Agentic AI.
- Hands-on experience with deep learning frameworks (PyTorch, TensorFlow).
- Expertise in large language models (LLMs), prompt engineering, and fine-tuning.
- Proven track record of deploying at least 3 GenAI/Agentic AI projects into production.
- Strong background in Data Science or Data Engineering, including data pipelines, ETL, and data modeling.
- Practical knowledge of SQL, No-SQL, vector databases, and graph databases.
Bachelor's/Master's in Engineering 2-5 years
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Gurugram, Haryana, India
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.