Role: Machine Learning Engineer

Experience Level: 1 to 3 Years

Work location: Mumbai, Bangalore & Trivandrum

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 robust 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 cooperative workplace 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.

📌 Machine Learning Engineer Mumbai (India)
🏢 Quantiphi Analytics Solutions
📍 India