New
3 weeks ago

Job Summary

As a Data Scientist (Machine Learning Engineer), you will analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights.

  • Minimum Qualification:Degree
  • Experience Level:Mid level
  • Experience Length:3 years

Job Description/Requirements

Responsibilities:
  • Identify valuable data sources and automate data collection processes.
  • Undertake to preprocess structured and unstructured data.
  • Analyze large amounts of information to discover trends and patterns.
  • Build predictive models and machine-learning algorithms.
  • Combine models through ensemble modeling.
  • Present information using data visualization techniques.
  • Propose solutions and strategies to business challenges.
  • Collaborate with engineering and product development teams.
 
Requirements:
  • BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred.
  • 3+ years experience as a Data Scientist, Machine Learning Engineer, or Data Analyst.
  • Strong math and statistics skills. Expert in Python.
  • Extensive experience with machine learning algorithms in the areas of NLP, NLU, text analysis, forecasting, and named entity recognition.
  • Expert in transformer models (BERT).
  • Experience with NumPy, Pandas, and Scikit-Learn. Expert in any of the following deep learning frameworks: PyTorch, TensorFlow, Keras, or MXNet.
  • Rest API using Flask.
  • Cloud computing with AWS.
  • Containers (Docker) and Container Orchestration Framework (Kubernetes).
  • Workflow scheduler (Airflow).
  • Machine Learning Model lifecycle management using Mlflow, and Kubeflow.
  • Experience with graph databases (Neo4j, or AWS Neptune) is a plus.

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