Time since we first saw it
Day 18
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.
Pune, Maharashtra, India
Live, first seen by us 18 days agoEmployment type in the employer’s posting: Full timeFrom the employer’s posting
Design, develop and deploy machine learning models and algorithms
Build AI/ML, GenAI and Agentic AI solutions for customers' business problems
Lead and support a team of junior AI engineers
Research the latest advances in AI/ML, GenAI and Agentic AI
design, develop, and deploy machine learning models and algorithms
build AI/ML, Gen AI, Agentic AI empowered practical in-depth solutions for solving customer’s business problems
Lead a team of junior AI engineers, providing direction and support.
Conduct research and stay up-to-date with the latest advancements in AI/ML, GenAI, and Agentic AI.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 18
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.
2 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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We are seeking an experienced and driven Senior AI/ML Engineer with 5-8 years of experience in AI/ML – Predictive ML, GenAI and Agentic AI. The ideal candidate should have a strong background in developing and deploying machine learning models, as well as a passion for innovation and problem-solving. As an AI/ML Solution Engineer, build AI/ML, Gen AI, Agentic AI empowered practical in-depth solutions for solving customer’s business problems. As an AI/ML Solution Engineer, design, develop, and deploy machine learning models and algorithms. Conduct research and stay up-to-date with the latest advancements in AI/ML, GenAI, and Agentic AI. Lead a team of junior AI engineers, providing direction and support. Requirements Bachelor’s or Master’s degree in computer science / AIML / Data Science. 5 to 8 years of overall experience and hands-on experience with the design and implementation of Machine Learning models, Deep Learning models, and LLM models for solving business problems. Proven experience working with Generative AI technologies, including prompt engineering, fine-tuning large language models (LLMs), embeddings, vector databases (e.g., FAISS, Pinecone), and Retrieval-Augmented Generation (RAG) systems. Expertise in Python (NumPy, Scikit-learn, Pandas), TensorFlow, PyTorch, transformers (e.g., Hugging Face), or MLlib. Experience in working on Agentic AI frameworks like Autogen, Langgraph, CrewAI, Agentforce etc Expertise in cloud-based data and AI solution design and implementation using GCP / AWS / Azure, including the use of their Gen AI services. Good experience in building complex and scalable ML and Gen AI solutions and deploying them into production environments. Experience with scripting in SQL, extracting large datasets, and designing ETL flows. Excellent problem-solving and analytical skills with the ability to translate business requirements into data science and Gen AI solutions. Effective communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders.
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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.
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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Pune, Maharashtra, India
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.