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!
Skills Required
- 4 to 6 years of experience
- Hands-on Python experience
- Knowledge of machine learning tools including Scikit-learn, Pandas, TensorFlow, PyTorch, Keras, OpenCV, and XGBoost
- Computer vision experience, including image preprocessing, image matching, object detection, image similarity, and image classification
- Knowledge of SIFT, SURF, ORB, Faster R-CNN, YOLO, SSD, and Siamese networks
- Knowledge of statistical modeling and machine learning models
- Experience with feature engineering, feature selection, dimensionality reduction, hyperparameter tuning, and ensembling
- Knowledge of AWS, Google Cloud Platform, and Microsoft Azure machine learning services
- Experience building end-to-end machine learning pipelines
- Experience with MLOps frameworks, model performance monitoring, and CI/CD
- Ability to multitask across multiple domain engagements
- Ability to learn new technologies quickly
- Ability to collaborate with stakeholders and IT teams to design and develop ML/AI solutions
- Experience working with Agile standards and methodologies
- Strong communication and collaboration skills
- Availability to join within 0 to 15 days
Quantiphi Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Quantiphi and has not been reviewed or approved by Quantiphi.
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Wellbeing & Lifestyle Benefits — Wellbeing initiatives such as monthly meeting-free AMA-Zen Days, health check-ups, and wellness counseling are designed to reduce burnout and support day-to-day balance. Broader wellness programs reinforce both physical and mental health.
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Flexible Benefits — Remote/hybrid options with flexible working hours provide meaningful autonomy over where and when work gets done. Flexible leave constructs, including sabbaticals and special day leaves, add practical adaptability to the package.
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Parental & Family Support — Paid parental leave in the U.S., alongside maternity and childcare support, signals solid backing for families. These family-oriented policies integrate with a wider health and wellness focus.
Quantiphi Insights
What We Do
Quantiphi is an award-winning AI-first digital engineering company driven by the desire to solve transformational problems at the heart of business. Quantiphi solves the toughest and complex business problems by combining deep industry experience, disciplined cloud, and data-engineering practices, and cutting-edge artificial intelligence research to achieve quantifiable business impact at unprecedented speed.
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