Senior Data Scientist / ML Engineer

Data Science, Machine Learning, ML, Python, SQL, MLOps, AI, Artificial Intelligence, AWS
Contract W2
Depends on Experience

Job Description

Senior Data Scientist / ML Engineer

Location: Remote

Duration: Long Term

 

  • Bachelor's or Master’s degree in computer science or related subject area with 6+ industry experience
  • 10 Years overall IT experience and 5+ years of demonstrated professional experience in Machine Learning and Data Science.
  • Expert in Python and advanced SQL  (these two are primary scripting tools)
  • Working experience with Python, Pyspark, Machine learning (Supervised & Unsupervised) and deep learning frameworks like Scikit-learn, TensorFlow, Keras.
  • Any Network Infrastructure/Cisco WIFI bandwidth monitoring applications related experience – a great to have
  • Hands on experience with MLOps frameworks such as TensorFlow Extended, Kubeflow, Airflow or other workflow engines, Model Serving (Real time/batch) and distributed training.
  • Experience applying data science techniques to the cyber security problem set, and domains like Natural Language Processing (NLP), Bayesian models, graphical models, GNN, GAN and a variety of neural network approaches
  • Demonstrable ability to interpret, and implement methods described in research papers and articles in machine learning, deep learning, mathematical modeling and related fields.
  • Strong understanding of data and analytics, including experience with Big Data, real time and batch data processing is preferred.
  • Ability to take end to end ownership of the engineering cycle for AI/ML
  • Experience with cloud platforms (e.g., AWS, Google Cloud Platform) and able to containerize and deploy models to production.
  • Should have excellent communication skills
Dice Id : 91018149
Position Id : 7525355
Originally Posted : 2 months ago
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