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Information Technology 🏒 Full Time ⭐️ Verified

AI/ML Architect (2026 Vision)

Horizon Tech Systems
Austin
Estimated Salary
USD 180.000 – USD 240.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Are you ready to define the technological landscape of 2026? Horizon Tech Systems is seeking a visionary AI/ML Architect to lead our cutting-edge initiatives. As we prepare for the next era of artificial intelligence, we need a technical expert who can bridge the gap between theoretical innovation and scalable production solutions.

In this role, you will spearhead the development of next-generation predictive models, autonomous systems, and deep learning frameworks. You will work in a high-performance environment, collaborating with cross-functional teams to integrate AI capabilities into our core products. If you are passionate about the future of technology and possess a deep understanding of machine learning algorithms, we want to hear from you.

Responsibilities

  • Architect and Deploy: Design and implement scalable machine learning architectures for large-scale production environments.
  • Model Optimization: Lead the research and development of proprietary algorithms to improve accuracy and efficiency.
  • Technical Leadership: Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • System Integration: Collaborate with software engineering teams to integrate AI models into real-time applications.
  • Data Strategy: Define data pipelines and governance strategies to ensure high-quality training data.
  • Future-Proofing: Stay ahead of industry trends, particularly in Generative AI and Autonomous Agents, to guide the company's technology roadmap.

Qualifications

  • Education: Master’s degree in Computer Science, Mathematics, or a related field (PhD preferred).
  • Experience: 7+ years of experience in machine learning, deep learning, or AI engineering roles.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Cloud Mastery: Extensive experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Problem Solving: Strong ability to tackle complex mathematical and algorithmic problems.
  • Communication: Excellent verbal and written communication skills for presenting technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch AWS GCP Machine Learning Deep Learning AI Data Science MLOps Austin Texas

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