Role: Senior Machine Learning Engineer

Experience Level: 4 to 6 Years

Work location: Mumbai, Bangalore & Trivandrum

Role & 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 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.

📌 Senior Machine Learning Engineer (Bengaluru)
🏢 Quantiphi Analytics Solutions
📍 Bengaluru