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Internship Mining Engineering Jobs in Georgia (NOW HIRING)

... in engineering principles and practices, with expertise in model deployment, data mining, and ... Experience mentoring junior colleagues and interns.

Internship Mining Engineering information

What types of projects or tasks can I expect to work on during a Mining Engineering internship?

As a Mining Engineering intern, you can expect to be involved in a variety of hands-on and analytical tasks such as assisting with mine planning, conducting site surveys, supporting environmental impact assessments, and analyzing geological data. Interns often collaborate closely with experienced engineers, geologists, and safety teams to learn best practices and gain exposure to daily operations. This role provides a valuable opportunity to understand the full mining lifecycle, from exploration and extraction to processing and reclamation, while building practical skills and professional networks.

What is the difference between Internship Mining Engineering vs Mining Engineer?

AspectInternship Mining EngineeringMining Engineer
Required CredentialsCurrently enrolled in or recent graduate of mining engineering programBachelor's degree in mining engineering or related field, possibly professional license
Work EnvironmentSupervised, entry-level, learning-focusedFull responsibility for planning, designing, and overseeing mining operations
Employer & Industry UsageInternships offered by mining companies, universities, or government agenciesMining companies, consulting firms, or industry organizations

Internship Mining Engineering positions are designed for students or recent graduates gaining practical experience, while Mining Engineers are fully qualified professionals responsible for mining project execution. Internships serve as a stepping stone toward becoming a licensed mining engineer, with the latter holding more responsibilities and requiring specific credentials.

What are the key skills and qualifications needed to thrive as an Internship Mining Engineering, and why are they important?

To thrive as a Mining Engineering Intern, you need foundational knowledge in mining engineering principles, geology, and safety practices, typically attained through ongoing studies in an accredited engineering program. Familiarity with mining design software (such as Surpac or AutoCAD), data analysis tools, and basic surveying equipment is often required. Strong problem-solving abilities, teamwork, and effective communication skills help interns adapt quickly and contribute meaningfully to projects. These skills and qualities ensure interns can support engineering teams, learn industry standards, and maintain safety and efficiency in mining operations.

What is an internship in mining engineering?

An internship in mining engineering is a temporary, supervised work experience that allows students or recent graduates to gain practical skills and industry knowledge related to mining operations, mineral extraction, and related engineering processes. Interns typically assist with tasks such as site surveys, data analysis, equipment inspection, and safety evaluations under the guidance of professional engineers. This experience helps students apply theoretical knowledge from their academic studies in a real-world setting, build professional networks, and improve their chances of securing a full-time job in mining engineering after graduation.
What are the most commonly searched types of Mining Engineering jobs in Georgia? The most popular types of Mining Engineering jobs in Georgia are:
What cities in Georgia are hiring for Internship Mining Engineering jobs? Cities in Georgia with the most Internship Mining Engineering job openings:
Gen AI Engineer

Gen AI Engineer

Fisec Global

Atlanta, GA • On-site

Other

Posted 8 days ago


Job description

Gen AI Engineer

Atlanta GA

Full time

Job Summary
We are seeking a highly skilled and motivated Engineer to join our dynamic team. The ideal candidate will have a strong background in engineering principles and practices, with expertise in model deployment, data mining, and database design. This role involves leveraging advanced technologies to solve complex problems and contribute to innovative projects.

Duties

  • Design, develop, and implement engineering solutions that meet project requirements.
  • Deploy machine learning models and ensure their effective integration into existing systems.
  • Utilize Hadoop for big data processing and analysis.
  • Conduct data mining to extract valuable insights from large datasets.
  • Collaborate with cross-functional teams to define project specifications and timelines.
  • Use Talend for data integration and transformation tasks.
  • Write efficient SQL queries for database management and reporting purposes.
  • Engage in quantum engineering projects, applying principles of quantum mechanics to engineering challenges.
  • Create and maintain databases, ensuring optimal performance and security.
  • Develop automation scripts using VBA to enhance operational efficiency.
  • Program applications in Java to support various engineering functions.
  • Apply unsupervised learning techniques to analyze unlabelled data and derive meaningful patterns.

Qualifications

  • Proven experience (3-5 years) as a Data Scientist or Machine Learning Engineer, with experience in deploying Generative AI based solutions in production.
  • Experience working on cutting-edge technologies to solve problems using Retrieval Augmented Generation (RAG), Fine tuning LLMs, Prompt tuning, Graph RAGs, Knowledge graphs, etc.
  • Strong background in machine learning, deep learning, and probabilistic modeling.
  • Proficiency in modern data science tools and frameworks, such as PyTorch, Tensorflow, JAX, Scikit-learn, and Keras.
  • Experience designing and implementing large-scale data pipelines and processing systems.
  • Experience working with server-side frameworks like FastAPI as well as API development, documentation, and versioning.
  • Familiarity with cloud platforms (AWS, GCP, or Azure), CI/CD tools (Jenkins) and containerization technologies (Docker, Kubernetes).
  • Strong programming skills in Python and experience working with version control systems (Git).
  • Excellent communication and teamwork skills.
  • Experience mentoring junior colleagues and interns.