IN KA Bengaluru
Actively hiring, first seen by us todayEmployment type in the employer’s posting: Full timeFrom the employer’s posting
Actively hiringFirst seen by us today, 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 0
Early. Similar jobs usually come down between day 6 and day 71.
At Quantiphi, jobs usually come down by about day 29.
From 4,626 similar postings that came down, and 36 of Quantiphi’s. Coming down is not always a hire.
31 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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Roles and Responsibilities: • Hands-on with Python and knowledge of machine learning tools like Scikit-Learn, Pandas, TensorFlow, Pytorch, Keras, OpenCV, XGBoost etc. • Computer Vision: Image preprocessing, image matching/comparison using SIFT/SURF/ORB, Object detection (Faster RCNN, YOLO, SSD, etc.), Image similarity (Siamese network), Image classification.
Reduction (PCA, etc.), Hyperparameter tuning, Ensembling techniques like Bagging, Boosting, Stacking • Should possess knowledge of multiple cloud platforms (AWS,GCP,Azure) and machine learning services offered by them. • Critical eye for the quality of data and strong desire to get it right.
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Yes. We’ve followed 9 other Senior Machine Learning Engineer jobs there since June 2026. 7 came down, usually after about 31 days. 2 are still up.
If this one keeps the same pace, it may come down around December 7.
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 12% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 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.
While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!
Job Description
Role: Senior Machine Learning Engineer
Experience Level: 4 to 6 Years
Work location: Mumbai, Bangalore & Trivandrum
Notice Period: 0-15 days(Looking for Immediate Joiners)
Roles and Responsibilities:
• Hands-on with Python and knowledge of machine learning tools like Scikit-Learn, Pandas, TensorFlow, Pytorch, Keras, OpenCV, XGBoost etc.
• Computer Vision: Image preprocessing, image matching/comparison using SIFT/SURF/ORB, Object detection (Faster RCNN, YOLO, SSD, etc.), Image similarity (Siamese network), Image classification.
• Knowledge of statistical modelling and popular machine learning models.
• Feature engineering, Feature selection/Feature importance, Dimensionality
Reduction (PCA, etc.), Hyperparameter tuning, Ensembling techniques like Bagging, Boosting, Stacking
• Should possess knowledge of multiple cloud platforms (AWS,GCP,Azure) and machine learning services offered by them.
• Critical eye for the quality of data and strong desire to get it right.
• A pleasantly forceful personality and charismatic communication style.
Skills- Required:
• Experience in building end to end machine learning pipelines, deployment using any ML Ops Framework, model performance monitoring, CI/CD.
• Ability to multitask and work on multiple engagements related to different domains.
• Be able to pick up newer technologies in a short span of time
• Work in a highly collaborative environment by interacting with the stakeholders and various IT teams within the company to facilitate design and development of ML/AI solutions.
• Be responsible for the successful delivery of all allocated projects with respect to schedule, quality and customer satisfaction.
• Follow Agile standards and methodologies in all phases of the project.
• Ensure excellence in delivery to customers
• Self-driven individuals with a passion for research and development and the zest for solving what matters.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
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IN KA Bengaluru
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