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Algorithm Engineer Jobs in Kentucky (NOW HIRING)

Purple Drive Technologies

AI Engineer

Louisville, KY · On-site

The ideal candidate will have strong expertise in ML/AI algorithms, data processing, and production ... Collaborate with data scientists, engineers, and product teams to integrate AI models into ...

Jatca Inc.

Assembly Controls Engineer

Georgetown, KY

$75K - $97K/yr

Perform control algorithms and software for complex systems * Perform feature and integration builds of software * Manage strategic business plans aligning with department hoshin for Assembly ...

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Algorithm Engineer information

See Kentucky salary details

$51.7K

$97K

$176.3K

How much do algorithm engineer jobs pay per year?

As of Jun 18, 2026, the average yearly pay for algorithm engineer in Kentucky is $96,955.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,900.00 and $115,100.00 per year, depending on experience, location, and employer.

What are the typical challenges an Algorithm Engineer faces in their day-to-day work?

Algorithm Engineers often encounter complex problems that require creative, efficient solutions within strict performance or resource constraints. They may need to optimize existing algorithms, develop new ones from scratch, and ensure seamless integration into larger software systems, often while balancing accuracy, speed, and scalability. Collaborating with other engineers, data scientists, and product teams to align technical efforts with business goals is also a regular part of the job. Staying updated with the latest advancements in algorithms and technology is essential, making continuous learning a key aspect of the role.

What does an Algorithm Engineer do?

An Algorithm Engineer designs, develops, and optimizes algorithms to solve complex computational problems. They analyze data, improve system performance, and implement mathematical models for various applications, such as machine learning, computer vision, and optimization. This role requires proficiency in programming languages like Python or C++, strong mathematical skills, and an understanding of data structures and algorithms. Algorithm Engineers work closely with software developers, data scientists, and researchers to integrate efficient solutions into real-world systems.

What are the key skills and qualifications needed to thrive in the Algorithm Engineer position, and why are they important?

To thrive as an Algorithm Engineer, you need a strong background in mathematics, computer science, and programming, usually demonstrated with a degree in these fields and experience in algorithm design and analysis. Familiarity with languages like Python, C++, or Java, and tools such as MATLAB or TensorFlow, as well as relevant certifications like those in data science or machine learning, are typically advantageous. Outstanding problem-solving abilities, analytical thinking, and effective communication are critical soft skills for success in this role. These competencies are crucial because they enable Algorithm Engineers to design efficient, innovative solutions and collaborate seamlessly with multidisciplinary teams.

What are the most commonly searched types of Algorithm Engineer jobs in Kentucky? The most popular types of Algorithm Engineer jobs in Kentucky are:
What are popular job titles related to Algorithm Engineer jobs in Kentucky? For Algorithm Engineer jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Algorithm Engineer jobs in Kentucky look for? The top searched job categories for Algorithm Engineer jobs in Kentucky are:
What are popular job titles related to Algorithm Engineer jobs in KY? For Algorithm Engineer jobs in KY, the most frequently searched job titles are:
Algorithm Engineer jobs near you

AI Engineer

Purple Drive Technologies

Louisville, KY • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Overview:
****************LOCAL PREFERRED***********************
Minimum 10+ Years
We are seeking a highly skilled AI Engineer to design, develop, and deploy artificial intelligence and machine learning solutions. The ideal candidate will have strong expertise in ML/AI algorithms, data processing, and production-level deployment of AI systems, with a focus on building scalable, secure, and efficient applications.
Key Responsibilities:
  • Design and implement machine learning models, deep learning architectures, and AI-driven solutions.
  • Build and maintain data pipelines for model training, testing, and deployment.
  • Develop scalable AI/ML services using cloud platforms (AWS, Azure, GCP).
  • Collaborate with data scientists, engineers, and product teams to integrate AI models into applications.
  • Optimize models for performance, scalability, and cost-effectiveness.
  • Research and experiment with the latest AI/ML techniques and frameworks.
  • Monitor AI systems in production, ensuring reliability and fairness.
  • Document processes, models, and architectures for knowledge sharing.

Required Skills:
  • Strong programming skills in Python (preferred), with experience in libraries such as TensorFlow, PyTorch, Scikit-learn.
  • Proficiency in machine learning algorithms (classification, regression, clustering, NLP, computer vision, etc.).
  • Experience with data preprocessing, feature engineering, and model evaluation.
  • Hands-on experience with cloud-based AI/ML services (AWS Sagemaker, Azure ML, GCP Vertex AI).
  • Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, Docker, Kubernetes).
  • Solid understanding of data structures, algorithms, and software engineering principles.
  • Knowledge of APIs and integration of AI solutions into production systems.

Preferred Qualifications:
  • 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).
  • Exposure to big data technologies (Spark, Hadoop).
  • Familiarity with model explainability, bias detection, and ethical AI practices.
  • Experience with CI/CD pipelines for ML models (MLOps).

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