Senior Machine Learning Engineer

October 17, 2024

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Shuvel

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Shuvel is a digital agency specializing in web design and development with a focus on helping businesses grow through their online presence. The company creates everything from single page applications to full stack applications, ensuring both creativity and functionality in their projects. They emphasize a masterful blend of UI/UX design that transforms digital experiences into interactive and highly responsive solutions. Shuvel also offers SEO and web accessibility services to enhance online visibility and ensure inclusivity for all users. Based in Washington D. C. and Los Angeles, the agency prioritizes delivering quality results and client satisfaction.

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.).