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Remote Open Pit Mining Engineer Jobs in Kentucky

Workiva

$40/hr

The Software Engineer Intern implements developer tools or product features on a rapid-release ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

New

Workiva

$40/hr

The Software Engineer Intern implements developer tools or product features on a rapid-release ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

New

Workiva

$40/hr

The Software Engineer Intern implements developer tools or product features on a rapid-release ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

New

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Remote Open Pit Mining Engineer information

What does a remote open pit mining engineer do?

A Remote Open Pit Mining Engineer is responsible for designing, planning, and overseeing mining operations in open pit mines, but performs these tasks remotely using digital tools and technologies. They analyze geological data, optimize mining methods, and ensure safety and efficiency from a distance. Their role includes collaborating with on-site teams, using remote sensing, and applying engineering principles to maximize resource extraction while minimizing environmental impacts.

What are the key skills and qualifications needed to thrive as a remote open pit mining engineer?

To thrive as a Remote Open Pit Mining Engineer, you need a degree in mining engineering or a related field, strong analytical skills, and experience in mine planning and operations. Familiarity with technical tools like mine planning software (e.g., Surpac, Vulcan), remote monitoring systems, and GIS is typically required. Excellent problem-solving, communication, and self-motivation are standout soft skills for collaborating remotely and making timely decisions. These abilities ensure efficient mine design, safe operations, and effective teamwork despite the challenges of remote work environments.

How does a remote open pit mining engineer effectively collaborate with on-site teams to ensure project success?

Remote Open Pit Mining Engineers rely heavily on digital communication tools and real-time data sharing to stay connected with on-site teams. Regular virtual meetings, daily progress updates, and the use of mining software platforms enable close coordination despite the distance. Building strong relationships with on-site supervisors and technicians is essential to address challenges promptly and maintain safety and productivity standards. Being proactive in communication and responsive to feedback helps ensure that design changes, scheduling, and operational adjustments are smoothly implemented.

What is the difference between Remote Open Pit Mining Engineer vs Remote Underground Mining Engineer?

AspectRemote Open Pit Mining EngineerRemote Underground Mining Engineer
CredentialsMining Engineering degree, certifications like MSHA or equivalentMining Engineering degree, certifications like MSHA or equivalent
Work EnvironmentSurface open pit sites, outdoor, large-scale equipmentUnderground tunnels, confined spaces, specialized equipment
Industry UsageCommon in mineral and metal extraction industriesUsed in coal, precious metals, and mineral extraction

Both roles require similar educational backgrounds and certifications, but they differ mainly in work environment and site type. Remote Open Pit Mining Engineers focus on surface operations, while Remote Underground Mining Engineers work underground. Understanding these differences helps candidates choose the right specialization based on their skills and interests.

Remote Open Pit Mining Engineer jobs near you

LLM Engineer (Remote)

Louisville, KY • On-site, Remote

Cognizant Technology Solutions

7.0

Company rating: 7.0 out of 10

Based on 87 frontline employees who took The Breakroom Quiz

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$141K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago

Job description

LLM Engineer
About the role
As LLM Engineer, you will make an impact by designing, building, optimizing, and deploying Large Language Model (LLM) and Small Language Model (SLM) solutions that power the enterprise Agent Factory. You will be a valued member of the AI Engineering team and work collaboratively with data scientists, platform engineers, product teams, and business stakeholders to deliver scalable, production-ready generative AI capabilities.
In this role, you will:
  • Design, build, fine-tune, deploy, and optimize LLM and SLM solutions for enterprise-scale use cases.
  • Develop and maintain supervised fine-tuning, model adaptation, and evaluation pipelines.
  • Apply advanced model optimization techniques including LoRA, QLoRA, distillation, quantization, and model compression to improve performance and efficiency.
  • Assess commercial, open-source, and internally hosted foundation models based on quality, cost, scalability, and operational requirements.
  • Collaborate with cross-functional teams to support domain-specific AI solutions using approved enterprise datasets and best practices for responsible AI.

Work model:
We strive to provide flexibility wherever possible. Based on this role's business requirements, this is a remote position open to qualified applicants in Louisville, KY. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
*Please note that this position is not eligible for visa transfer or sponsorship now or at any time in the future*
What you need to have to be considered
  • 7+ years of experience in Software Engineering, AI Engineering, Machine Learning Engineering, Platform Engineering, or a related technical discipline.
  • 2+ years of hands-on experience developing and deploying Generative AI, LLM, SLM, or Agentic AI solutions in production environments.
  • Experience building enterprise-grade AI applications utilizing LLMs, Retrieval-Augmented Generation (RAG), prompt engineering, APIs, and cloud or on-premises platforms.
  • Strong understanding of model fine-tuning, adaptation, evaluation frameworks, and AI quality measurement methodologies.
  • Proficiency in machine learning development, model deployment, and MLOps best practices.
  • Experience working with Python and modern AI/ML frameworks and tools.

These will help you stand out
  • Knowledge of AI infrastructure, GPU optimization, and large-scale model serving.
  • Experience implementing model governance, responsible AI, and evaluation frameworks.
  • Familiarity with vector databases, embedding models, and advanced RAG architectures.
  • Experience building enterprise AI platforms, multi-agent systems, or agent orchestration frameworks.

Salary and Other Compensation:
Applications will be accepted until September 17th, 2026.
The annual salary for this position is between $ 81,337 to $141,500 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
  • Medical/Dental/Vision/Life Insurance
  • Paid holidays plus Paid Time Off
  • 401(k) plan and contributions
  • Long-term/Short-term Disability
  • Paid Parental Leave
  • Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.

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