Machine Learning Engineer - Judge Group

As a Machine Learning Engineer, you will be responsible for the design, implementation, configuration, and maintenance of advanced analytics environments to address business challenges facing our organization. You will assist Data and Analytics leadership in developing strategies and overseeing architectural designs for Advanced Analytics, Big Data, and Machine Learning implementations.

You Will

• Design, research, test, and evaluate new technologies to improve and enhance enterprise analytics systems' reliability, availability, and serviceability.

• Collaborate closely with internal and external partners to ensure that technology decisions related to advanced analytics align with the overarching enterprise architecture framework.

• Establish and maintain analytic environments essential for the Enterprise Data Warehouse, Data Science, Business Intelligence, and both structured and unstructured data.

• Keep abreast of current and emerging technologies, products, and trends in advanced analytics solutions.

• Ensure alignment of data analytics solutions with business and IT goals/objectives, actively participating in the identification of advanced analytics solution options and features.

• Effectively communicate solution options to business owners and stakeholders, facilitating data analytics architecture reviews.

• Identify gaps between established standards and proposed solutions for advanced analytics.

• Maintain an in-depth awareness of existing technology assets related to data science and business intelligence.

• Provide mentorship to team members, assisting in the development of technical skills related to data analysis and data science.

• Collaborate with data insight teams to establish development standards for coding, testing, and documentation.

• Engage stakeholders across the organization to architect solutions that leverage advanced analytics, big data, and machine learning.

• Demonstrate excellent interpersonal and organizational skills, with the ability to handle diverse situations, multiple initiatives, and rapidly changing priorities.

• Actively support the achievement of our organization's Vision and Goals.

• Perform other duties as assigned.

Your Qualifications

• Preferred, but not required: Associate’s or Bachelor’s Degree in Computer Information or equivalent work experience.

• 7+ years of overall experience in the Machine Learning and Data Science fields.

• 3+ years of experience in machine learning solution architecture, building machine learning pipelines, and standardizing and building enterprise-level data analysis solutions in complex environments.

• Hands-on experience with Modern Data Warehousing in the cloud, Snowflake, SnowSQL, Azure Data Factory, Databricks, Snowpark, PySpark, Azure DevOps, Azure Fabric, Power BI, SQL Server, SSAS, SSRS, SSIS, Tableau, Alteryx, NLP, and Scikit-Learn (Classification, Clustering, Recommendation Systems).

• Programming experience with scripting languages such as Python/R and SQL.

• Expertise in Snowflake architecture, performance tuning, and SQL optimization.

• Experience with ETL/ELT tools (e.g., Azure Data Factory, dbt) and building scalable data pipelines.

• Strong understanding of data warehousing, dimensional modeling, and cloud platforms (Azure, AWS).

• Proficiency in Python, SnowSQL, and automation with Snowflake’s API.

• Knowledge of BI tools (e.g., Power BI, Tableau, SSRS) and experience with machine learning integration (e.g., Snowpark, Azure Machine Learning, Snowflake Streamlit).

• Familiarity with CI/CD pipelines and version control (Git).

• Deep understanding of data science, machine learning, deep learning, advanced statistical techniques, and concepts.

• Deep understanding of industry patterns for machine learning architecture and integration.

• Excellent written and verbal communication skills.

• Experience with Deep Learning Libraries, such as TensorFlow or PyTorch, is preferred.

• Health care industry experience is a big plus.