Machine Learning Engineer
Jobs via Dice
Date: 8 hours ago
City: Brooklyn Park, MN
Salary:
$60
-
$90
per hour
Contract type: Contractor

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:
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:
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
- 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
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:
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