The SpyGlass Group, LLC
IT Consulting • Operating Cost Reduction • Improved Operating Efficiencies • Technology Expense Management
Machine Learning Architect - Data Scientist
November 8
The SpyGlass Group, LLC
IT Consulting • Operating Cost Reduction • Improved Operating Efficiencies • Technology Expense Management
Description
• Design and architect scalable machine learning systems and workflows to solve complex business challenges. • Build, train, and optimize machine learning models using large datasets and a range of algorithms (e.g., supervised, unsupervised, reinforcement learning). • Collaborate with data engineers, software developers, and business stakeholders to ensure seamless integration of ML models into production systems. • Research and implement the latest trends and advancements in AI/ML, recommending improvements to current systems. • Develop and maintain reusable code, frameworks, and tools that support efficient experimentation and production deployment. • Translate business problems into analytical solutions by selecting appropriate modeling techniques and evaluating model performance. • Present findings and insights to stakeholders in a clear and actionable manner, providing both technical and non-technical explanations.
Requirements
• Master’s or PhD in Computer Science, Data Science, Statistics, or a related field. • 5+ years of hands-on experience in machine learning, data science, or AI, including experience in designing end-to-end ML pipelines. • Strong background in statistical analysis, data visualization, and experimental design. • Excellent communication skills, both written and verbal, with the ability to explain complex concepts to non-technical stakeholders. • Strong problem-solving and critical-thinking abilities. • Proficiency in programming languages such as Python, R, or Java. • Strong expertise in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). • Experience with cloud platforms (specifically with Azure) and deploying ML models in production environments. • Knowledge of big data technologies (e.g., Hadoop, Spark) and experience working with large-scale data sets. • Familiarity with MLOps practices and tools for model deployment, monitoring, and automation.
Benefits
• Medical, Vision and Dental Plans • Life and Disability Insurance • Open PTO Policy • Holiday PTO • Paid training certification • Bonus plan • 401k • Flexible working arrangements & more
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