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Machine Learning Engineer

1 month ago


Birmingham, United States MAU Workforce Solutions Full time
We are hiring a Machine Learning Engineer for our client. As a Machine Learning Engineer, you will join the Data Engineer - AMI Analytics team to play a pivotal role in advancing data-driven decision-making and operational efficiency across business units. Working closely with data scientists and within a cloud environment, this role requires expertise in data engineering, cloud technologies, and collaborative problem-solving.

Required Education and Experience
  • Bachelor's degree in Computer Science, Information Technology, or related field
  • 3+ years of experience in data engineering or related roles, preferably in a cloud environment
  • Experience with cloud-based data platforms (e.g., Azure Databricks, AWS EMR)
General Requirements
  • Proficiency in programming languages such as Python, SQL, and Scala
  • Proficiency with Power BI for data visualization and reporting
  • Strong understanding of data modeling, ETL processes, and data warehousing concepts
  • Familiarity with big data technologies
  • Innovative and adaptable, with a passion for continuous learning and improvement
  • Strong communication and collaboration skills, with the ability to work effectively across teams
  • Results-oriented and committed to delivering high-quality solutions that meet business needs
  • Ethical conduct and commitment to safety in all aspects of work
Essential Functions
  • Data Pipeline Development: assist in designing, building, and maintaining scalable data pipelines for ingesting, transforming, and storing large volumes of AMI data from various sources; collaborate with data scientists to integrate data pipelines with analytical models and AI processes
  • Data Modeling and Architecture: develop and implement optimized data models and architectures for AMI data analytics, ensuring efficiency, scalability, and data integrity; implement best practices for data storage, partitioning, and indexing to optimize performance and facilitate analysis
  • Cloud Environment Management: deploy, manage, and optimize data engineering solutions within Azure cloud environments; collaborate with cloud architects and administrators to ensure security, compliance, and cost-effectiveness of cloud infrastructure
  • Visualization and Reporting: develop and maintain Power BI dashboards and reports to visualize AMI data insights and support data-driven decision-making; create custom UI/UX applications to enhance data visualization effectiveness
  • Data Cataloging and Documentation: catalog and document AMI data sources, datasets, and metadata to facilitate data discovery, lineage, and governance; implement data cataloging best practices to ensure availability and accessibility of AMI data assets
  • Collaboration and Support: collaborate with cross-functional teams to understand data requirements and support analytical initiatives; provide technical support and troubleshooting for data-related issues to ensure reliability and availability of data infrastructure