Gurugram, Haryana, India
Live, first seen by us 24 days agoWork setup in the employer’s posting: HybridFrom the employer’s posting
Employment type in the employer’s posting: Full timeFrom the employer’s posting
Design, develop, and deploy generative AI applications using LLMs
Build and optimize prompt engineering, RAG, and fine-tuning pipelines
Integrate GenAI models into production systems via APIs, microservices, and cloud
Evaluate model performance, reduce hallucinations, and improve accuracy and latency
Implement monitoring, logging, and feedback loops for model improvement
Design, develop, and deploy Generative AI applications using LLMs
Build and optimize prompt engineering, RAG (Retrieval-Augmented Generation), and fine-tuning pipelines.
Integrate GenAI models into production systems using APIs, microservices, and cloud platforms.
Evaluate model performance, mitigate hallucinations, and improve accuracy, safety, and latency.
Implement monitoring, logging, and feedback loops for continuous model improvement.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 24
Similar jobs usually come down between day 6 and day 70.
At EXL Service, jobs usually come down by about day 17.
From 4,481 similar postings that came down, and 219 of EXL Service’s. Coming down is not always a hire.
202 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- 2+ years of hands-on experience in Generative AI, LLMs, or applied NLP. - Strong programming skills in Python (required); experience with JavaScript/TypeScript is a plus. - Practical experience with:
- Vector databases (e.g., Pinecone, FAISS, Weaviate, Chroma) - Experience deploying ML/AI solutions in cloud environments (AWS, Azure, or GCP). - Solid understanding of data structures, APIs, and system design.
- Ensure compliance with security, privacy, and responsible AI guidelines. - Experience in RAG based applications using LangGraph and FastAPI. - Familiarity with MLOps practices (CI/CD for ML, model versioning, monitoring).
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New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 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.
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
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Gurugram, Haryana, India
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.