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Computer Science Engineer Jobs in Kentucky (NOW HIRING)

Azure Databricks Developer

Louisville, KY · On-site

$52.75 - $65.50/hr

... Physical Sciences, Engineering or Computer Science Nice to Have skills 1. Experience in leading design and development of large systems 2. Demonstrates strong drive to learn and advocate for ...

Act as a liaison between the ML Engineers and Data Science team, managing AI/ML model deployments ... Master's degree in Business Analytics, Statistics, Computer Science, or Statistics/Math and ...

Students graduating in 2025 or later with a Bachelor's degree in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students ...

AI Data Engineer - Senior Consultant

Louisville, KY · Hybrid

$100K - $137K/yr

Bachelor's degree in a STEM field (e.g., Computer Science, Engineering, Statistics, Data Science) * 4+ years building and delivering LLM/GenAI solutions with Claude/GPT(Codex)/Gemini-class models ...

Students graduating in 2025 or later with a Bachelor's degree in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students ...

Students graduating in 2025 or later with a Bachelor's degree in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students ...

Students graduating in 2025 or later with a Bachelor's degree in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students ...

Students graduating in 2025 or later with a Bachelor's degree in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students ...

Students graduating in 2025 or later with a Bachelor's degree in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students ...

Bachelor's degree from an ABET accredited program in Electrical Engineering or Computer Science. * 3+ years of related experience in Engineering/Software Engineering. * 2+ years of Project management ...

Minimum BS degree in Chemistry, Biology, Engineering, or Physics * Familiarity and experience with ... COMPUTER SKILLS * Microsoft Office Suite familiarity PHYSICAL DEMANDS The physical demands ...

Minimum BS degree in Chemistry, Biology, Engineering, or Physics * Familiarity and experience with ... COMPUTER SKILLS * Microsoft Office Suite familiarity PHYSICAL DEMANDS The physical demands ...

MLOps & DevOps Collaboration Work with engineering and product teams to implement best practices ... Ph.D. in Computer, Science, Data Science, Machine Learning, or a related field. Additional ...

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Computer Science Engineer information

See Kentucky salary details

$42.1K

$105.5K

$119.4K

How much do computer science engineer jobs pay per year?

As of Jun 25, 2026, the average yearly pay for computer science engineer in Kentucky is $105,539.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,800.00 and $114,200.00 per year, depending on experience, location, and employer.

Can computer engineers make $500,000?

Computer engineers can potentially earn $500,000 or more annually, especially in senior roles, management, or specialized fields like software architecture, data science, or cybersecurity. Achieving this level often requires extensive experience, advanced skills, and sometimes working in high-paying industries or locations with a competitive compensation market.

What engineers make $300,000 a year?

Senior computer science engineers, especially those in specialized fields like software architecture, machine learning, or cybersecurity, can earn $300,000 or more annually, often with extensive experience, advanced skills, and working in high-demand industries or companies. Compensation may include base salary, bonuses, and stock options, particularly in tech giants or startups with significant growth potential.

What engineers make $500,000?

High-level computer science engineers, such as software architects, machine learning engineers, and senior data scientists, can earn $500,000 or more annually, especially with extensive experience, specialized skills, and working in high-paying industries like finance or technology. Achieving this level often requires advanced degrees, certifications, and leadership roles.

What are some typical projects or tasks a Computer Science Engineer might work on within a multidisciplinary team?

Computer Science Engineers often collaborate with professionals from diverse backgrounds such as product managers, designers, and data analysts. Typical projects may include developing scalable software applications, optimizing algorithms for performance, or integrating new technologies into existing systems. These engineers are frequently involved in code reviews, planning meetings, and cross-functional brainstorming sessions to ensure solutions meet both technical and business requirements. This collaborative environment not only enhances technical skills but also fosters communication and project management abilities.

What are Computer Science Engineers?

Computer Science Engineers are professionals who apply principles of computer science, engineering, and mathematics to design, develop, test, and maintain computer systems, software, and networks. They work on a wide range of technologies, from creating applications and operating systems to improving network security and optimizing hardware performance. Their role often involves problem-solving, programming, and collaborating with other engineers and IT specialists to deliver efficient technology solutions.

What work do computer science engineers do?

Computer science engineers design, develop, and maintain software systems, applications, and algorithms. They often work with programming languages, data structures, and computer hardware to solve technical problems and improve technology performance. Their tasks may include coding, testing, debugging, and collaborating with teams on system architecture and user requirements.

What are the key skills and qualifications needed to thrive as a Computer Science Engineer, and why are they important?

To thrive as a Computer Science Engineer, you need a solid background in programming, algorithms, data structures, and computer systems, often supported by a degree in computer science or a related field. Familiarity with languages like Python, Java, or C++, as well as experience using development tools, version control systems (such as Git), and relevant certifications like AWS or Cisco, are highly valued. Strong problem-solving abilities, teamwork, and effective communication help set exceptional engineers apart. These skills are vital for designing, developing, and maintaining reliable software solutions in ever-evolving technical environments.
What are popular job titles related to Computer Science Engineer jobs in Kentucky? For Computer Science Engineer jobs in Kentucky, the most frequently searched job titles are:
Infographic showing various Computer Science Engineer job openings in Kentucky as of June 2026, with employment types broken down into 72% Full Time, 22% Part Time, and 6% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $105,539 per year, or $50.7 per hour.
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Lexington, KY • On-site

Other

Posted 4 days ago


Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.