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Computer Science Related Jobs in Kentucky (NOW HIRING)

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ERP Administrator

Cynthiana, KY · On-site

$100K - $120K/yr

ERP Administrator Salary - $100,000-$120,000 4 days a week onsite in Kentucky, zip code 41031 Qualifications Bachelor's degree in Computer Science, Engineering, or related field (preferred) 3+ years ...

Advanced degree (Master's/PhD) in Computer Science, AI, Data Science, or related field. * Experience in Natural Language Processing (NLP) , Computer Vision , or Generative AI (LLMs, Transformers)

Education Requirement Bachelor's degree in computer science, information systems, or a related field Experience Requirement 2+ years of experience in computer science, information systems, or a ...

Assembly Controls Engineer

Georgetown, KY

$75K - $97K/yr

Bachelors degree in mechanical, electrical or computer science or equivalent experience * Read and ... Position related experience in Control Engineering * Experience in Embedded Controls Algorithm ...

MINIMUM QUALIFICATIONSBachelor's degree in business/science-related field is required, post ... computer experiencePHYSICAL REQUIREMENTSAbility to use hands and fingersAbility to see, hear and ...

Bachelor's degree in Information Technology, Computer Science, or related (equivalent experience considered). * Strong experience with Enterprise SIEM (Splunk or similar). * Basic understanding of ...

Bachelor's degree in Information Technology, Computer Science, or related (equivalent experience considered). * Strong experience with Enterprise SIEM (Splunk or similar). * Basic understanding of ...

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Computer Science Related information

What are computer science jobs?

Computer science jobs refer to a variety of careers that involve designing, developing, and maintaining computer systems, software, and networks. These roles can include software developers, data scientists, cybersecurity analysts, system administrators, and more. Professionals in this field use their knowledge of programming, algorithms, and technology to solve problems, improve systems, and innovate new solutions. The field is constantly evolving, offering strong job prospects and opportunities for specialization.

What is the difference between Computer Science Related vs Software Developer?

AspectComputer Science RelatedSoftware Developer
Required CredentialsBachelor's in Computer Science or related field; certifications like CS50, Cisco, or MicrosoftBachelor's in Computer Science, Software Engineering, or related; certifications like Microsoft Certified, AWS Developer
Work EnvironmentResearch labs, academia, tech companies, startupsTech companies, software firms, startups, freelance projects
Employer & Industry UsageUniversities, research institutions, tech firmsSoftware companies, IT departments, app development firms
Common Search & ComparisonYesNo

Computer Science Related roles encompass a broad range of positions involving theoretical and practical aspects of computing, including research, algorithms, and systems. Software Developers focus specifically on designing, coding, and maintaining software applications. While both share similar credentials and work environments, Computer Science Related roles often involve research and academic work, whereas Software Developers are more application-focused.

What are the key skills and qualifications needed to thrive in a computer science-related role, and why are they important?

To thrive in a computer science-related role, you generally need strong programming abilities, problem-solving skills, and a solid understanding of algorithms and data structures, often backed by a degree in computer science or a related field. Familiarity with coding languages such as Python, Java, or C++, and experience with tools like Git, databases, and cloud platforms are typically expected. Excellent analytical thinking, teamwork, and communication skills help you stand out by enabling effective project collaboration and solution-driven innovation. These competencies are essential for developing reliable software, optimizing systems, and contributing to dynamic technical teams.

What are some common challenges faced by professionals in computer science roles, and how can they be addressed?

Professionals in computer science often encounter challenges such as keeping up with rapidly evolving technologies, debugging complex code, and collaborating across multidisciplinary teams. Staying current through continuous learning—such as online courses or technical workshops—can help address knowledge gaps. Additionally, effective communication and utilizing collaborative tools can streamline teamwork, while developing strong problem-solving skills aids in troubleshooting and resolving technical issues efficiently.
What cities in Kentucky are hiring for Computer Science Related jobs? Cities in Kentucky with the most Computer Science Related job openings:

Applied engineer Artificial Intelligence(AI)

Purple Drive Technologies

Louisville, KY • On-site

$110K - $132K/yr

Full-time

Posted 19 days ago


Job description

Overview:
Job Description:
We are seeking a highly skilled Applied Engineer in Artificial Intelligence (AI) to design, develop, and implement AI-driven solutions that solve complex business challenges. The ideal candidate will have strong hands-on experience with AI/ML frameworks, data engineering, and model deployment, along with the ability to collaborate across digital transformation initiatives.
Key Responsibilities:
  • Design, build, and deploy AI/ML models and solutions for enterprise digital transformation projects.
  • Apply advanced machine learning, natural language processing (NLP), computer vision, and generative AI techniques to real-world business use cases.
  • Collaborate with data scientists, engineers, and product teams to integrate AI solutions into applications and platforms.
  • Develop data pipelines, preprocessing workflows, and ensure data quality for AI/ML models.
  • Optimize model performance, scalability, and reliability in production environments.
  • Evaluate and implement state-of-the-art AI research into practical solutions.
  • Work with cloud AI services (AWS, Azure, GCP) to deploy and manage AI workloads.
  • Ensure compliance with enterprise AI governance, security, and ethical guidelines.
  • Document processes, create reusable assets, and provide knowledge transfer to teams.

Required Skills & Qualifications:
  • Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or related field.
  • Proven hands-on experience in AI/ML model development and deployment.
  • Strong programming skills in Python, R, or Java, with experience in ML/AI libraries (TensorFlow, PyTorch, Scikit-learn).
  • Experience with NLP, computer vision, deep learning, or generative AI models.
  • Knowledge of cloud-based AI platforms (AWS SageMaker, Azure AI, Google AI/Vertex AI).
  • Solid understanding of data engineering, feature engineering, and MLOps practices.
  • Strong problem-solving, analytical thinking, and communication skills.

Preferred Skills:
  • Familiarity with reinforcement learning, LLMs (Large Language Models), and transformer-based architectures.
  • Experience with AI solution integration into digital platforms (ERP, CRM, customer experience systems).
  • Certifications in AI/ML, cloud AI services, or related technologies.