Time since we first saw it
Day 1
Early. 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.
Reads like an ML Engineer role: training models and running them in production.
Design and implement machine learning algorithms with TensorFlow and PyTorch
Build and optimize data models in Python and SQL
Analyze and mine large datasets for trends and patterns
Work with cross-functional teams on data-driven business solutions
Create visualizations and reports that communicate results to stakeholders
Design And Implement Advanced Machine Learning Algorithms Using Tensorflow And Pytorch
Leverage Python And Sql To Develop And Optimize Data Models
Analyze And Mine Large Datasets To Identify Trends And Patterns
Collaborate With Cross-Functional Teams To Identify Opportunities
Create Comprehensive Visualizations And Reports Using Data Visualization Tools
Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 1
Early. 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.
357 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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.
1. Design And Implement Advanced Machine Learning Algorithms Using Tensorflow And Pytorch To Extract Insights From Large Datasets, Delivering Customized Analytical Reports Tailored To The Needs Of Colleagues, Clients, And Stakeholders. 2. Leverage Python And Sql To Develop And Optimize Data Models That Address Specific Organizational Challenges, Ensuring Effective Integration And Management Of Data. 3. Analyze And Mine Large Datasets To Identify Trends And Patterns, Utilizing Advanced Analytics Techniques To Interpret Findings And Provide Actionable Recommendations Based On Experimental Results.
1. - Strong Knowledge Of Machine Learning Principles And Algorithms Using Tensorflow And Pytorch. 2. - Proficient In Programming Languages Such As Python For Data Analysis And Model Development. 3. - Solid Understanding Of Sql For Data Manipulation And Querying Large Databases.
2. - Proficient In Programming Languages Such As Python For Data Analysis And Model Development. 3. - Solid Understanding Of Sql For Data Manipulation And Querying Large Databases. 4. - In-Depth Experience With Data Analytics Techniques And Tools For Interpreting Complex Datasets.
Key Responsibilities 1. Design And Implement Advanced Machine Learning Algorithms Using Tensorflow And Pytorch To Extract Insights From Large Datasets, Delivering Customized Analytical Reports Tailored To The Needs Of Colleagues, Clients, And Stakeholders. 2. Leverage Python And Sql To Develop And Optimize Data Models That Address Specific Organizational Challenges, Ensuring Effective Integration And Management Of Data.
Skill Requirements 1. - Strong Knowledge Of Machine Learning Principles And Algorithms Using Tensorflow And Pytorch. 2. - Proficient In Programming Languages Such As Python For Data Analysis And Model Development.
Other Requirements 1. Optional But Valuable Certifications: Certified Data Scientist (Cds), Tensorflow Developer Certificate, Or Professional Data Engineer Certification.
Complete your application on careers.hcltech.com. The employer’s form will show what is required.
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Yes. We’ve followed 7 other Senior Data Scientist - ML, Python (IN) jobs there since November 2026. All 7 are still up.
Large employers often post one title for several teams, so these can be separate openings.
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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India
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.