Machine Learning Architect - Data Scientist

November 8, 2024

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The SpyGlass Group, LLC

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The SpyGlass Group, LLC is a specialized technology expense management company providing personalized solutions to help businesses optimize their technology service expenses. The company offers services like SnapShot Audit® and SpyCare® to help decipher complex telecom bills, uncover billing mistakes and inefficiencies, and identify cost-saving opportunities. Their unique business model ensures that clients only pay when savings are realized. With expertise in technology cost audits, SpyGlass assists IT teams in managing and reducing telecom expenses without disrupting their daily operations, enabling companies to regain control over their technology budgets.

IT Consulting • Operating Cost Reduction • Improved Operating Efficiencies • Technology Expense Management

51 - 200 employees

Founded 20 years ago

🤝 B2B

💸 Finance

📡 Telecommunications

📋 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