Time since we first saw it
Day 164
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.
AI /ML Engineer
Noida, Uttar Pradesh, India
Open 5 months, first seen by us 164 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingBuild scalable multi-modal LLM-based AI agents using frameworks like LangGraph or Autogen
Research and build RAG, semantic search, and reasoning solutions for LLMs
Design, build, and refine datasets to evaluate and improve solutions
Automate model deployment, monitoring, and retraining
Review, refactor, and optimize machine learning code with data scientists
From the employer’s posting
Work on building scalable multi-modal Large Language Model (LLM) based AI agents
Research and build innovative solutions to relevant AI problems, including Retrieval-Augmented Generation (RAG), semantic search, knowledge representation, tool usage, fine-tuning, and reasoning in LLMs
Design, build, and refine datasets to evaluate and continuously improve our solutions.
Automate model deployment, monitoring, and retraining processes.
Collaborate with data scientists to review, refactor, and optimize machine learning code.
Posting record
Report an errorOpen 5 monthsWe first saw this posting 164 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
- Jun 2, 2026164 days ago
- Recorded sightings
- 84
- Last seen by us
- Nov 13, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Dailoqa is hiring
2 open jobs
- No new data jobs since June
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
- TypeScript
- AWS
- Azure
- Docker
- GCP
- Prefect
- Terraform
- Airflow
- FastAPI
- Hugging Face
- PyTorch
- React
- SQLAlchemy
- TensorFlow
- PostgreSQL
Where the posting names them
About the Role We are looking for Women AI Engineers who want to help shape the future of Financial Services clients and our company. As part of the team, you will get to · Work directly with our founding team and be a core member. · Apply the latest AI techniques to solve real problems faced by Financial Services clients. · Design, build, and refine datasets to evaluate and continuously improve our solutions. · Participate in strategy and product ideation sessions, influencing our product and solution roadmap. Key Responsibilities · Agentic AI Development: Work on building scalable multi-modal Large Language Model (LLM) based AI agents, leveraging frameworks such as LangGraph, Microsoft Autogen, or Crewai. · AI Research and Innovation: Research and build innovative solutions to relevant AI problems, including Retrieval-Augmented Generation (RAG), semantic search, knowledge representation, tool usage, fine-tuning, and reasoning in LLMs. · Technical Expertise: Proficiency in a technology stack that includes Python, LlamaIndex / LangChain, PyTorch, HuggingFace, FastAPI, Postgres, SQLAlchemy, Alembic, OpenAI, Docker, Azure, Typescript, and React. · LLM and NLP Experience: Hands-on experience working with LLMs, RAG architectures, Natural Language Processing (NLP), or applying Machine Learning to solve real-world problems. · Dataset Development: Strong track record of building datasets for training and/or evaluating machine learning models. · Customer Focus: Enjoy diving deep into the domain, understanding the problem, and focusing on delivering value to the customer. · Adaptability: Thrive in a fast-paced environment and are excited about joining an early-stage venture. · Model Deployment and Management: Automate model deployment, monitoring, and retraining processes. · Collaboration and Optimization: Collaborate with data scientists to review, refactor, and optimize machine learning code. · Version Control and Governance: Implement version control and governance for models and data. Required Qualifications: Bachelor's degree in computer science, Software Engineering, or a related field 2-4 years of experience in MLOps, DevOps, or related roles Have strong programming experience and familiarity with Python based deep learning frameworks like Pytorch, JAX, Tensorflow Have strong familiarity and knowledge of machine learning concepts Proficiency in cloud platforms (AWS, Azure, or GCP) and infrastructure-as-code tools like Terraform Desired Skills: You have experience with technology stack: Python, LlamaIndex / LangChain, PyTorch, HuggingFace, FastAPI, Postgres, SQLAlchemy, Alembic, OpenAI, Docker, Azure, Typescript, React. Knowledge of data pipeline orchestration tools like Apache Airflow or Prefect Familiarity with software testing and test automation practices Understanding of ethical considerations in machine learning deployments Strong problem-solving skills and ability to work in a fast-paced environment
Your next step
Complete your application on dailoqa.zohorecruit.in. The employer’s form will show what is required.
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
About the Role We are looking for Women AI Engineers who want to help shape the future of Financial Services clients and our company. As part of the team, you will get to · Work directly with our founding team and be a core member. · Apply the latest AI techniques to solve real problems faced by Financial Services clients. · Design, build, and refine datasets to evaluate and continuously improve our solutions. · Participate in strategy and product ideation sessions, influencing our product and solution roadmap. Key Responsibilities · Agentic AI Development: Work on building scalable multi-modal Large Language Model (LLM) based AI agents, leveraging frameworks such as LangGraph, Microsoft Autogen, or Crewai. · AI Research and Innovation: Research and build innovative solutions to relevant AI problems, including Retrieval-Augmented Generation (RAG), semantic search, knowledge representation, tool usage, fine-tuning, and reasoning in LLMs. · Technical Expertise: Proficiency in a technology stack that includes Python, LlamaIndex / LangChain, PyTorch, HuggingFace, FastAPI, Postgres, SQLAlchemy, Alembic, OpenAI, Docker, Azure, Typescript, and React. · LLM and NLP Experience: Hands-on experience working with LLMs, RAG architectures, Natural Language Processing (NLP), or applying Machine Learning to solve real-world problems. · Dataset Development: Strong track record of building datasets for training and/or evaluating machine learning models. · Customer Focus: Enjoy diving deep into the domain, understanding the problem, and focusing on delivering value to the customer. · Adaptability: Thrive in a fast-paced environment and are excited about joining an early-stage venture. · Model Deployment and Management: Automate model deployment, monitoring, and retraining processes. · Collaboration and Optimization: Collaborate with data scientists to review, refactor, and optimize machine learning code. · Version Control and Governance: Implement version control and governance for models and data. Required Qualifications: Bachelor's degree in computer science, Software Engineering, or a related field 2-4 years of experience in MLOps, DevOps, or related roles Have strong programming experience and familiarity with Python based deep learning frameworks like Pytorch, JAX, Tensorflow Have strong familiarity and knowledge of machine learning concepts Proficiency in cloud platforms (AWS, Azure, or GCP) and infrastructure-as-code tools like Terraform Desired Skills: You have experience with technology stack: Python, LlamaIndex / LangChain, PyTorch, HuggingFace, FastAPI, Postgres, SQLAlchemy, Alembic, OpenAI, Docker, Azure, Typescript, React. Knowledge of data pipeline orchestration tools like Apache Airflow or Prefect Familiarity with software testing and test automation practices Understanding of ethical considerations in machine learning deployments Strong problem-solving skills and ability to work in a fast-paced environment
Source details
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- Pay
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- Location & working pattern
Noida, Uttar Pradesh, India
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- Work authorization
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