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Please send the right Sr. profiles only for 10+ yrs.Data Scientist/ML Engineer
Importance: HighLocation: Portland, OR / RemoteDuration: Long TermWhat you bring Bachelor's or Master’s degree in computer science or the related subject area with 6+ industry experience 10 Years overall IT experience and 4+ years of demonstrated professional experience in Machine Learning and Data Science. Working experience with Python, Pyspark, Machine learning (Supervised & Unsupervised), and deep learning frameworks like Scikit-Learn, TensorFlow, Keras, PyTorch Experience in mining features from Clickstream data, CDN, and various big data sources to support anomaly detection/fraud-related use cases is highly desired 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. Data wrangling experience with structured and unstructured data Strong problem solving and analytical mindset Familiar with data structures and algorithms Effective communication skills (with team members, the business, and in code) Understanding of bot and application security (DDOS, WAF, bot defenses), IP, and threat intelligence preferred Information and app security, experience in bot detection, analysis, and mitigation preferred