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Sr. AI Engineer

Job in New Braunfels, Comal County, Texas, 78130, USA
Listing for: VORKIS
Full Time, Seasonal/Temporary position
Listed on 2026-06-02
Job specializations:
  • Software Development
    AI Engineer, Machine Learning/ ML Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 146398 - 227734 USD Yearly USD 146398.00 227734.00 YEAR
Job Description & How to Apply Below

We are a dynamic and innovative company seeking a highly skilled Senior AI Engineer to join our team. We pride ourselves on our collaborative culture, where creativity and cutting‑edge technology intersect.

The ideal candidate will develop and deploy AI technologies within an organization, contributing to business performance. You will stay abreast of the constant evolution in AI technologies, methodologies, and tools to ensure our solutions remain cutting‑edge.

Join and help us drive innovation and improve system performance.

Salary: $146,398 - $227,734 per year

Location: TX, New Braunfels, US, 78132

Employment option:

Job type: Full time

Job Summary

We are a dynamic and innovative company seeking a highly skilled Senior AI Engineer to join our team. We pride ourselves on our collaborative culture, where creativity and cutting‑edge technology intersect.

The ideal candidate will develop and deploy AI technologies within an organization, contributing to business performance. You will stay abreast of the constant evolution in AI technologies, methodologies, and tools to ensure our solutions remain cutting‑edge.

Join and help us drive innovation and improve system performance.

Skills Must Have
  • Hard skills: beginner in Tensor Flow, Agile, Deep Learning, CI/CD, Docker, C/C++, Azure, Pipeline
  • Hard skills: proficient in Machine Learning, Python
Nice‑to‑have
  • Hard skills: beginner in GCP, JAVA, Automated Testing, Information Security, Kubernetes, AWS
  • Hard skills: competent in PyTorch, Research
  • Hard skills: proficient in AI
  • Soft skills:

    competent in Communication Skills
Additional Requirements Qualification
  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Mathematics, Statistics, Data Science, or a related field.
  • C1+ English level
Experience
  • Proven experience in developing and implementing complex algorithms to solve business problems and improve system performance.
  • 5+ years of professional experience in AI, machine learning, or a related field, demonstrating a track record of designing and implementing AI solutions.
  • Experience in designing and developing AI models.
  • Experience in data preprocessing and feature engineering.
  • Proven experience in leading projects and teams, including the mentorship of junior engineers.
  • Experience integrating AI models and systems into existing business processes and IT infrastructure.
Requirements
  • High proficiency in AI‑related programming languages such as Python, Java, or Scala. Familiarity with AI frameworks like Tensor Flow or Apache Spark is also important.
  • Deep understanding of machine learning algorithms and the ability to apply these techniques to train systems and make predictions.
  • Advanced knowledge of deep learning techniques to interpret complex data patterns and make predictions.
  • Strong data analysis skills to interpret complex data sets and extract insights that inform AI model development.
  • Strong problem‑solving skills, with the ability to tackle complex technical challenges.
  • Ability to work in a fast‑paced, deadline‑driven environment.
  • Ability to keep up with the latest AI trends, conduct research, and drive innovation in AI applications.
  • Excellent communication, collaboration, and time‑management skills.
Responsibilities
  • Design, develop, and deploy AI models.
  • Lead AI projects and provide technical guidance to junior engineers and other team members.
  • Analyse large and complex data sets to extract insights and inform AI model development.
  • Evaluate the effectiveness of AI.
  • Manage data and project infrastructure.
  • Collaborate with cross‑functional teams, including stakeholders, data scientists, and other team members to understand requirements and deliver AI solutions.
  • Ensure the quality, accuracy, and reliability of AI models and systems.
  • Develop and implement complex algorithms to solve business problems and improve system performance.
  • Apply deep learning techniques to interpret complex data patterns and make predictions.
  • Evaluate machine learning processes.
  • Keep up with the latest AI trends, conduct research, and drive innovation in AI applications.
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