Time since we first saw it
Day 34
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.
Noida, Uttar Pradesh, India
Live, first seen by us 34 days agoWork setup in the employer’s posting: On-siteFrom the employer’s posting
Employment type in the employer’s posting: Full timeFrom the employer’s posting
Job title: ML Intern
Collect, clean, and pre-process datasets for ML projects
Perform exploratory data analysis and surface meaningful insights
Assist in building, training, and evaluating ML models
Work on classification, regression, and predictive analytics tasks
Document experiments, model performance, and project outcomes
Collect, clean, and pre process datasets for machine learning projects.
Perform exploratory data analysis (EDA) and identify meaningful insights.
Assist in building, training, and evaluating machine learning models.
Work on classification, regression, and predictive analytics tasks.
Document experiments, model performance, and project outcomes.
Basic knowledge of Python programming.
Understanding of Machine Learning concepts and algorithms.
Familiarity with Pandas, NumPy, and Scikit-learn.
Knowledge of Statistics and Data Analysis.
Strong analytical and problem-solving skills.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 34
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.
6 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordAdd 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.
Collect, clean, and pre process datasets for machine learning projects. Perform exploratory data analysis (EDA) and identify meaningful insights. Assist in building, training, and evaluating machine learning models. Work on classification, regression, and predictive analytics tasks. Develop and optimize ML pipelines and algorithms. Document experiments, model performance, and project outcomes. Collaborate with team members on AI/ML solutions and research initiatives. Stay updated with the latest developments in AI, ML, and Generative AI technologies. Requirements Basic knowledge of Python programming. Understanding of Machine Learning concepts and algorithms. Familiarity with Pandas, NumPy, and Scikit-learn. Knowledge of Statistics and Data Analysis. Strong analytical and problem-solving skills. Good communication and teamwork abilities.
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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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Noida, Uttar Pradesh, India
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.