Senior Machine Learning Engineer
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Before you apply
LocationIN KA Bengaluru; IN MH Mumbai Quantum; IN MH Mumbai ISD; IN MH Mumbai Eureka
Also inTrivandrum, Kerala, India
Work modeon-site
Typefull-time
SenioritySenior
Experience4–6 yrs
Company size1,001–5,000 people
PostedNov 6, 2026 · 2d ago
Verified live14h ago
At a glanceSummarised by Seekless from the posting.
4 to 6 years of experience
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
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
Python
Scikit-Learn
Pandas
TensorFlow
PyTorch
Keras
OpenCV
XGBoost
SIFT
SURF
ORB
Faster RCNN
YOLO
SSD
AWS
GCP
Azure
About the company
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*!*