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Senior Machine Learning Engineer

Senior Machine Learning Engineer

Quantiphithiruvananthapuram, kerala, in
1 day ago
Job description

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.
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