AI Engineer

Company: Haystack

Location: Location not specified (Remote)

Type: Full-time

Level: mid

Remote: Yes

Posted: 2026-02-15

About this role

AI Engineer - Machine Learning (US) | United States | Remote
We're working with Slab on this exciting opportunity.


Slab is seeking a passionate AI Engineer to revolutionize manufacturing with cutting-edge Industrial AI solutions. Leverage your expertise in Machine Learning, Python, and MLOps to develop robust, scalable software that transforms real-world data into unprecedented AI/ML solutions. This is your chance to make a significant impact by integrating state-of-the-art AI into production environments and driving the future of manufacturing.


The Role

  • Collaborate with AI Scientists to design and implement scalable, efficient ML pipelines.
  • Build and maintain reliable infrastructure for data processing, model training, evaluation, and deployment.
  • Own the end-to-end implementation of ML systems, from research prototypes to production-grade code.
  • Optimize model training/inference, latency, and resource usage for peak performance.
  • Develop monitoring, observability, and CI/CD tooling to support the full ML lifecycle.

What You'll Need

  • BS in Computer Science, Electrical Engineering, Machine Learning, or a related technical field.
  • Proficiency in Python, C++, or Java, coupled with a strong understanding of algorithms and data structures.
  • Expertise in the Python data science stack (NumPy, Pandas) and ML/DL frameworks (scikit-learn, PyTorch, TensorFlow).
  • 3+ years experience building production-ready ML infrastructure, including data pipelines and deployment automation.
  • Solid understanding of software engineering best practices: Git, unit testing, code review, CI/CD, Docker, and Kubernetes.

What's On Offer

  • The opportunity to develop cutting-edge Industrial AI solutions for leading manufacturing customers.
  • Work with vast amounts of real data to apply state-of-the-art AI technologies.
  • Collaborate with a talented team of Applied Scientists, Software Engineers, and Program Managers.
  • Contribute to the transformation of m...

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