Senior Machine Learning Engineer

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 !