Time since we first saw it
Day 212
Up longer than most. Similar jobs usually come down between day 8 and day 76.
From 5,460 similar postings that came down. Coming down is not always a hire.
Senior Machine Learning Engineer (Bangalore/Noida Location)
- Pay
- Pay not listed
- Work setting
Hybrid — work setting source
Work setup in the employer’s posting: hybrid
From the employer’s posting- Employment
Full-time — employment source
Employment type Full Time
Employment type in the employer’s posting: Full Time
From the employer’s posting
What you’ll work on
Full postingBuild and deploy LLM-powered agents for internal tools and customer-facing products
Design and improve RAG pipelines, prompt engineering workflows, and tool integrations
Optimise ML and LLM systems for accuracy, latency, scalability, and cost
Build production-ready AI/NLP pipelines with monitoring and evaluation benchmarks
Implement and evaluate reasoning, planning, memory, and retrieval modules for AI agents
From the employer’s posting
Build and deploy LLM-powered agents for internal tools and customer-facing products.
Design and improve RAG pipelines, prompt engineering workflows, and tool integrations.
Optimise ML and LLM systems for accuracy, latency, scalability, and cost.
Build production-ready AI/NLP pipelines with monitoring, evaluation benchmarks, and continual improvement loops.
Implement and evaluate reasoning, planning, memory, and retrieval modules for AI agents.
Education & alternatives
We'll love to explore more about you if you have - B.Tech/M.Tech/PhD in computer science or mathematics-related fields from tier-1 engineering institutes with 3+ years of industry experience in Machine Learning and NLP, or applied AI. - Strong programming skills in Python.
Posting record
Report an errorOpen 7 monthsWe first saw this posting 212 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Apr 15, 2026212 days ago
- Recorded sightings
- 158
- Last seen by us
- Nov 13, 2026
- Employer says posted
- Nov 3, 2025
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Levelai is hiring
3 open jobs
- No new data jobs since April
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
- Docker
- Kubernetes
- Hugging Face
- PyTorch
- Transformers
Where the posting names them
- B.Tech/M.Tech/PhD in computer science or mathematics-related fields from tier-1 engineering institutes with 3+ years of industry experience in Machine Learning and NLP, or applied AI. - Strong programming skills in Python. - Interest and experience with RAG and agentic AI concepts.
- Interest and experience in model training, inference optimisation, and GPUs. - Experience deploying ML services using REST APIs, Docker, Kubernetes, or cloud platforms. - Exposure to vector databases such as FAISS, Pinecone, Qdrant, or similar.
- Interest and experience with RAG and agentic AI concepts. - Experience with PyTorch, Hugging Face Transformers, and other similar ML libraries. - Interest and experience in model training, inference optimisation, and GPUs.
Your next step
Complete your application on jobs.lever.co. The employer’s form will show what is required.
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Already applied? Track this application
Demand for ML Engineer roles
New ML Engineer postings at the employers we follow are up 10% 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 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.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
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.
Job description
Level AI was founded in 2019 and is a Series C startup headquartered in Mountain View, California. Level AI revolutionizes customer engagement by transforming contact centres into strategic assets. Our AI-native platform leverages advanced technologies such as Large Language Models to extract deep insights from customer interactions. By providing actionable intelligence, Level AI empowers organisations to enhance customer experience and drive growth. Consistently updated with the latest AI innovations, Level AI stands as the most adaptive and forward-thinking solution in the industry.
Empowering contact center stakeholders with real-time insights, our tech facilitates data-driven decision-making for contact centers, enhancing service levels and agent performance. As a vital team member, your work will be cutting-edge technologies, and you will play a high-impact role in shaping the future of AI-driven enterprise applications. You will directly work with people who've worked at Amazon, Facebook, Google, and other technology companies in the world. With Level AI, you will get to have fun, learn new things, and grow along with us. Ready to redefine possibilities? Join us!
Your role at Level AI includes but is not limited to
-
Build and deploy LLM-powered agents for internal tools and customer-facing products.
-
Design and improve RAG pipelines, prompt engineering workflows, and tool integrations.
-
Experiment with open-source/closed-source LLMs.
-
Implement and evaluate reasoning, planning, memory, and retrieval modules for AI agents.
-
Optimise ML and LLM systems for accuracy, latency, scalability, and cost.
-
Build production-ready AI/NLP pipelines with monitoring, evaluation benchmarks, and continual improvement loops.
-
Collaborate with product, engineering, and customer-facing teams to ship impactful AI features.
We'll love to explore more about you if you have
- B.Tech/M.Tech/PhD in computer science or mathematics-related fields from tier-1 engineering institutes with 3+ years of industry experience in Machine Learning and NLP, or applied AI.
-
Strong programming skills in Python.
-
Interest and experience with RAG and agentic AI concepts.
-
Experience with PyTorch, Hugging Face Transformers, and other similar ML libraries.
-
Interest and experience in model training, inference optimisation, and GPUs.
-
Experience deploying ML services using REST APIs, Docker, Kubernetes, or cloud platforms.
-
Exposure to vector databases such as FAISS, Pinecone, Qdrant, or similar.
To know about us: https://thelevel.ai/
Employment type
Full Time
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
Noida
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.