Senior Machine Learning Engineer

October 17

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Shuvel

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11 - 50 employees

🌐 Web 3

🔌 API

☁️ SaaS

Description

• An exciting remote telework opportunity as a Sr. Machine Learning Engineer. • Responsible for research, development, implementing, and deploying machine learning models and algorithms. • Collaborate with cross-functional teams to identify opportunities for applying ML techniques, collect and preprocess data. • Design and train models, deploy solutions into production environments. • Work with state-of-the-art technologies to impact the field of machine learning. • Ensure data integrity and validation actions, develop algorithms to analyze structured cyber-security data. • Recommend and implement interactive reports, visual analytics, and dashboards based on collected digital data.

Requirements

• Experience working with machine learning, data science, or related fields. • Experience working with cyber-security data. • Experience in statistical analysis and visualization of complex data. • An understanding and ability to implement data hygiene methods via ETL. • Ability to build upon previous analytics capabilities to enable more complex analysis of large datasets, including graphs to generate actionable intelligence. • Solid understanding of machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, reinforcement learning, etc. • Hands-on experience with popular machine learning libraries and frameworks, (e.g., TensorFlow, PyTorch, Scikit-learn, Keras, SciPy, etc.). • Experience with data processing and analysis tools, (e.g., Python, Sci-Kit, NumPy, SQL, Spark, etc.). • Excellent problem-solving and analytical skills, with a keen attention to detail. • Strong communication and collaboration skills, with the ability to independently or to work effectively in a team environment; the ability to quickly adapt to changing priorities/requirements. • Experience with network traffic inspection tools (e.g., Suricata, Arkime, Zeek, etc.).