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!

Experience (in Years) : 4 to 10 years.

Location: Bangalore, Mumbai & Trivandrum

Roles and Responsibilities

• Good analytical skills, with expertise in analytical tool-kits such as Logistic Regression, Cluster Analysis, Factor Analysis, Multivariate Regression, Statistical modelling, predictive analysis.
• Hands-on with Python/R programming 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.
• NLP: Vector Space modeling in NLP, LSTMS, Sequence modeling, Attention modeling, BERT, Transformers. Using the above mentioned techniques performing Document classification, Semantic similarity, NER, Sentiment Analysis.
• Time Series Analysis using ARIMA, SARIMA, LSTMs, etc.
• 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 (GCP-Preferable, Azure or AWS) 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 (Kube Flow Pipelines, Vertex AI), model performance monitoring, CI/CD.
• Experience in GCP based ML solutions and services like Contact Center AI, Vertex AI, Document AI, Speech-to-Text, Text-to Speech, Natural Language, Dialog Flow, AutoML, Vision, Video Intelligence, Base OCR, Form Parser, Invoice Parser, etc
• 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.