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Junior Mining Engineering Jobs in Michigan (NOW HIRING)

ML Ops Engineer

Dearborn, MI ยท On-site

$48.50 - $66.50/hr

Mentor junior team members and promote best practices across the team Required Skills * Strong ... Data mining and advanced analytics experience * Strong troubleshooting and problem-solving skills

Jr Engineer

Westland, MI ยท On-site

$20/hr

... agriculture, mining, sustainable energy, construction, power tools, marine and many other ... Run prints for engineering releases, estimating or sales. * Support Engineering, off-site ...

... agriculture, mining, sustainable energy, construction, power tools, marine and many other ... Run prints for engineering releases, estimating or sales. * Support Engineering, off-site ...

Senior Resident Controls Engineer

New Buffalo, MI ยท On-site

$93K - $122K/yr

We're one of the largest engineering and system integration firms in the United States providing ... Provide technical guidance and mentoring to junior engineers * Generate functional requirements ...

... programming, along with the ability to translate complex findings into clear business ... Coach and mentor junior consultants and review modeling work for quality and rigor. * Support ...

Junior Mining Engineering information

What is a junior mining engineer?

A Junior Mining Engineer assists in the planning, design, and operation of mining projects under the supervision of senior engineers. They analyze geological data, support safety and environmental compliance, and help optimize mining processes. Responsibilities may include site inspections, technical reporting, and equipment evaluations. This entry-level role provides hands-on experience and is a stepping stone to more senior engineering positions in the mining industry.

What does a junior mining engineer do?

As a Junior Mining Engineer, your daily responsibilities might include assisting with mine design, supporting senior engineers in planning and operations, performing field surveys, and collecting geological data. You may also help monitor safety protocols, track equipment performance, and prepare technical reports for review. Collaboration with geologists, surveyors, and equipment operators is a regular part of the job to ensure projects stay on schedule and comply with environmental and safety standards. This role offers an excellent opportunity to gain hands-on experience and develop your skills for future advancement in the mining industry.

What are the key skills and qualifications needed to thrive in the junior mining engineering position?

To thrive as a Junior Mining Engineer, you need a degree in mining engineering or a related field and a solid understanding of mine planning, geology, and safety regulations. Familiarity with mining software such as Surpac, AutoCAD, or Minesight, as well as knowledge of industry-specific safety certifications, are typically required. Strong analytical thinking, teamwork, and effective communication skills help you excel in fieldwork and support senior engineers. These competencies ensure safety, efficiency, and productive collaboration in complex mining operations.

What are the most commonly searched types of Mining Engineering jobs in Michigan?

The most popular types of Mining Engineering jobs in Michigan are:

What are popular job titles related to Junior Mining Engineering jobs in Michigan?

For Junior Mining Engineering jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Junior Mining Engineering jobs in Michigan look for?

The top searched job categories for Junior Mining Engineering jobs in Michigan are:

Infographic showing various Junior Mining Engineering job openings in Michigan as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Machine Learning Engineering Senior Engineer

Megan soft Inc

Dearborn, MI โ€ข On-site

$96K - $131K/yr

Contractor

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

Job Title: ML Ops Engineer
Location: Dearborn, MI (Hybrid – 4 Days/Week Onsite)
Duration: 12 Months
 
 
Note Only W2 Only USC,GC,H4EAD,GCEAD
 
Position Overview
We are seeking an experienced ML Ops Engineer to design, build, and optimize scalable machine learning data pipelines on Google Cloud Platform (GCP). The ideal candidate will have strong expertise in MLOps, Data Engineering, DevOps, Cloud Infrastructure, and Machine Learning to support Ford's connected vehicle and AI/Agentic initiatives.
The role involves developing robust batch and streaming data pipelines, implementing enterprise data governance, maintaining cloud infrastructure, optimizing ML solutions, and collaborating with cross-functional teams to deliver high-quality data products.
Key Responsibilities
  • Design, develop, and maintain scalable ML data pipelines on Google Cloud Platform.
  • Build batch and streaming data pipelines for connected vehicle data.
  • Optimize ML solutions for performance, scalability, security, reliability, and cost.
  • Develop and maintain cloud infrastructure using Terraform and CI/CD pipelines.
  • Build and monitor production data pipelines while providing production support.
  • Implement enterprise data governance, data lineage, and data quality standards.
  • Collaborate with data scientists, AI engineers, and business stakeholders.
  • Enhance DevOps capabilities using GitHub, Tekton, Docker, and GitHub Actions.
  • Deliver software using Agile methodologies, Test-Driven Development (TDD), CI/CD, and DevOps best practices.
  • Resolve code quality issues using SonarQube, Checkmarx, FOSSA, and Cycode.
  • Design Microservices and REST APIs for scalable data processing.
  • Support AI Agentic initiatives and connected vehicle analytics.
  • Troubleshoot production issues and ensure SLA compliance.
  • Continuously improve data engineering solutions and cloud infrastructure.
Required Skills
  • Google Cloud Platform (GCP)
  • Machine Learning / MLOps
  • TensorFlow
  • Python
  • Java
  • Spark
  • SQL
  • Artificial Intelligence / AI
  • Data Governance
  • Data Architecture
  • Cloud Architecture
  • Apache Kafka
  • REST APIs
  • Microservices
  • Git / GitHub / GitHub Actions
  • Terraform
  • Tekton
  • Docker
  • Jira
  • Agile Software Development
  • Strong Technical Communication & Collaboration Skills
Preferred Skills
  • Telematics
  • Data Modeling
  • Cloud Infrastructure
  • Data Mining
  • Database Design
  • Troubleshooting & Problem Solving
  • Leadership / Mentoring Experience
Required Experience
  • Master's degree with 4+ years of experience, or Bachelor's degree with 6+ years of relevant experience.
  • 4+ years of Data Engineering and software product development experience.
  • Strong experience with at least three of the following:
    • Python
    • Java
    • Spark
    • Scala
    • SQL
  • 3+ years building cloud-based production data pipelines using:
    • Google BigQuery, Redshift, or Azure Synapse
    • Airflow
    • MySQL, PostgreSQL, or SQL Server
    • Apache Kafka or GCP Pub/Sub
    • Microservices
    • REST APIs
    • Terraform
    • Docker
    • GitHub Actions
    • Tekton
    • Atlassian Jira
Preferred Experience
  • Ph.D. in Computer Science, Software Engineering, Information Systems, or related field.
  • 2+ years of ML Model Development and/or MLOps experience.
  • Experience with cloud architecture and application migrations.
  • GCP Professional Certifications.
  • Experience contributing to open-source projects.
  • Strong analytics and data profiling skills.
  • Experience implementing end-to-end automation across ML pipelines.
  • Excellent communication and stakeholder management skills.
  • Experience mentoring junior engineers.
Education
Required: Bachelor's Degree in Computer Science, Software Engineering, Information Systems, Data Engineering, or related field.
Preferred: Master's Degree or Ph.D.