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Ai 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 ...

Baptist Health

AI Manager

Louisville, KY · Remote

... full AI algorithm lifecycle-from intake and evaluation through deployment, monitoring, and ... Bachelor's degree in data science, computer science, Engineering, Informatics, Healthcare or ...

Baptist Health

AI Manager

Lexington, KY · Remote

... full AI algorithm lifecycle-from intake and evaluation through deployment, monitoring, and ... Bachelor's degree in data science, computer science, Engineering, Informatics, Healthcare or ...

GMV

AI Software Engineer

Verona, KY · On-site +1

$51.50 - $68.25/hr

We are an engineering and innovation company working in different areas. Within the IT sector we ... algorithms to improve intelligent machine technology. DO YOU WANT TO BE PART OF OUR TEAM? If you ...

The National Academies of Sciences, Engineering, and Medicine

$93K - $94K/yr

As the staff lead for the NAM LHS Strategy Group and related Consortium Member programming, this ... g., AI algorithm development, GPT-5), health financing, individual and community trust and ...

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Ai Algorithm Engineer information

How much do AI automation engineers make?

AI automation engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning, deep learning, and programming languages like Python or TensorFlow tend to have higher salaries.

What are some common challenges AI Algorithm Engineers face when deploying models to production environments?

AI Algorithm Engineers often encounter challenges such as ensuring model scalability, maintaining inference speed, and handling the integration of models with existing systems. Additionally, they must address issues like model drift, data pipeline inconsistencies, and the need for continuous monitoring to maintain accuracy over time. Effective collaboration with data engineers, software developers, and DevOps teams is essential for successful deployment and ongoing model performance.

What is the difference between Ai Algorithm Engineer vs Data Scientist?

AspectAi Algorithm EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; knowledge of algorithms and programmingBachelor's or Master's in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops and optimizes AI algorithms, often in R&D or product teamsAnalyzes data, builds models, and provides insights for business decisions
Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, marketing, tech firms

While both roles require strong technical skills and a background in data or algorithms, Ai Algorithm Engineers focus on designing and improving AI algorithms, whereas Data Scientists analyze data to generate insights and build predictive models. The roles often overlap but serve different primary functions within organizations.

What are the key skills and qualifications needed to thrive as an AI Algorithm Engineer, and why are they important?

To thrive as an AI Algorithm Engineer, you need strong expertise in mathematics, programming (especially Python, C++, or Java), and a solid background in computer science or a related field, often supported by a relevant degree. Familiarity with machine learning frameworks (like TensorFlow, PyTorch), data processing tools, and sometimes certifications in AI or data science are typically required. Creative problem-solving, strong analytical thinking, and effective communication are crucial soft skills that set top candidates apart. These skills and qualifications are essential for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technical environments.

What does an AI algorithm engineer do?

An AI algorithm engineer designs, develops, and optimizes algorithms that enable machines to perform tasks such as learning, reasoning, and decision-making. They work with machine learning models, data processing, and programming languages like Python or C++, often using tools like TensorFlow or PyTorch, to create effective AI solutions. Strong analytical skills and knowledge of data structures are essential for this role.

What engineers make $500,000?

Senior AI algorithm engineers with extensive experience, advanced skills in machine learning, deep learning, and data science, and often working in high-demand industries or at leading tech companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially at executive or specialized levels.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a highly senior or specialized role such as an AI research director, chief AI officer, or senior machine learning executive, often in large tech companies or financial institutions. These positions usually require extensive experience, advanced skills in machine learning, deep learning, and data science, and may include leadership responsibilities and strategic decision-making.

What are AI Algorithm Engineers?

AI Algorithm Engineers are professionals who design, develop, and optimize algorithms that enable artificial intelligence systems to learn from data and perform complex tasks. They work with machine learning, deep learning, and other AI techniques to create models that can analyze information, make predictions, or automate processes. AI Algorithm Engineers often collaborate with data scientists and software developers to implement and improve AI solutions for various industries, such as healthcare, finance, and technology. Their work involves both theoretical research and practical application, requiring strong programming and mathematical skills.
What are popular job titles related to Ai Algorithm Engineer jobs in Kentucky? For Ai Algorithm Engineer jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Ai Algorithm Engineer jobs in Kentucky look for? The top searched job categories for Ai Algorithm Engineer jobs in Kentucky are:
What cities in Kentucky are hiring for Ai Algorithm Engineer jobs? Cities in Kentucky with the most Ai Algorithm Engineer job openings:
Ai 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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