Senior Machine Learning Engineer

Roles and Responsibilities

● Good analytical skills, with expertise in analytical toolkits 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 © 2020 Quantiphi Inc, All rights reserved

● 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.