Machine Learning Engineer

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Dahl Consulting, is seeking the following. Apply via Dice today! Seeking a new job opportunity? Don t miss this role! Dahl Consulting is currently partnering with a leader in the retail industry. We work one-on-one with great candidates to help connect them with local employment opportunities. This Company is hiring a Machine Learning Engineer for a contract position! Interested? Get more details below. Contract Duration: 6 months Worksite Location: Brooklyn Park, MN Compensation: $60.00 - $90.00 per hour What you ll do as the Machine Learning Engineer: • Support and maintain critical batch workflows that generate large-scale forecasts on YARN-managed on-premise clusters • Monitor, restart, and troubleshoot jobs to minimize downtime and ensure system reliability • Enhance functionality, stability, and performance of existing jobs with code contributions in Python (PySpark), Bash, R, or Terraform • Implement observability metrics and monitoring solutions using OpenTelemetry, Kibana, REST APIs, Grafana, and custom instrumentation • Collaborate through GitHub (PRs, code reviews, branching strategies) to drive improvements and ensure high-quality code delivery • Contribute to workflow orchestration and infrastructure enhancements, leveraging Airflow or similar tools • Proactively identify opportunities for optimization and support cross-functional teams with scalable, reliable solutions What you ll bring to the Machine Learning Engineer role: • Hands-on expertise in Apache Hadoop, Apache Hive, Apache Spark, Spark ecosystem, Big Data, Docker, Git/GitHub, PySpark, and Python • Strong background in job monitoring, troubleshooting, and distributed systems operations • Experience with workflow orchestration tools such as Airflow, Luigi, or custom equivalents • Proficiency with Terraform for infrastructure-as-code and Bash scripting for automation • Familiarity with observability practices, including OpenTelemetry, Kibana, Grafana, REST APIs, and metrics instrumentation • Knowledge of MLOps concepts and practical experience applying monitoring and automation to machine learning workflows • Strong analytical, problem-solving, and troubleshooting skills with attention to detail • Clear communication skills with the ability to collaborate across development, data science, and operations teams • Proactive, reliable, and improvement-focused mindset in balancing operational stability with code development As an equal opportunity employer, Dahl Consulting welcomes candidates of all backgrounds and experiences to apply. If this position sounds like the right opportunity for you, we encourage you to take the next step and connect with us. We look forward to meeting you! Dahl Consulting is proud to offer a comprehensive benefits package to eligible employees that will allow you to choose the best coverage to meet your family s needs. For details, please review the DAHL Benefits Summary: