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Job Description

Build custom AI/ML and GUI solutions that connect to enterprise systems and control collaborative robots in advanced manufacturing and inspection environments.

Responsibilities

  • Develop and/or maintain iterative enhancements for internal in-house software applications and tools used by business and technical teams
  • Deliver full-stack AI and machine learning development, including deploying, scaling, and integrating ML models into user-facing applications
  • Design, develop, and deploy deep learning models for computer vision and inspection data, including LLMs, CNNs, GANs, ResNets
  • Support engineering development and R&D for robotics and unmanned systems or drones (as applicable to projects)
  • Design, develop, and maintain API interfaces that connect internal AI/ML platforms with external enterprise software, including security APIs such as Microsoft Defender for Endpoint API and CrowdStrike Falcon API
  • Build scalable data pipelines to ingest, transform, and synchronize data between ML models and third-party enterprise APIs
  • Design and implement cobot applications, multi-cobot workstations, and simulation environments
  • Create scalable GUIs and reusable components for data pipelines and manufacturing dashboards
  • Analyze and optimize code for performance, reliability, and maintainability
  • Collaborate with engineering, manufacturing, and management teams to deliver end-to-end solutions
  • Support or lead small technical proposals and provide technical guidance to peers on advanced automation and ML work

Requirements

  • Bachelor’s degree in Computer Science, Computer/Software Engineering, Data Science, or a related field
  • 1–4 years of programming experience in one or more: Python (Advanced), C++, R, Java
  • ML/AI frameworks and libraries: PyTorch, TensorFlow, Scikit-learn, Hugging Face Transformers
  • Data processing and databases: Pandas, NumPy, Apache Spark, SQL, PostgreSQL
  • MLOps and deployment: Docker, Kubernetes, MLflow, AWS (SageMaker), GCP (Vertex AI)
  • Version control and collaboration: Git, GitHub, GitLab, Jira
  • Strong background in scalable software design, API development, and testing practices
  • Familiarity with data science
  • Bonus: Experience with recommendation systems, pattern recognition, or large-scale software architectures

Technologies

  • Python, C++, R, Java
  • PyTorch, TensorFlow, Scikit-learn, Hugging Face Transformers
  • Pandas, NumPy, Apache Spark, SQL, PostgreSQL
  • Docker, Kubernetes, MLflow, AWS (SageMaker), GCP (Vertex AI)
  • Git, GitHub, GitLab, Jira
  • Microsoft Defender for Endpoint API, CrowdStrike Falcon API
  • NVIDIA Isaac Sim, Gazebo/ROS2
  • UR eSeries
  • LLMs, CNNs, GANs, ResNets
  • ERP systems, AI/ML platforms, computer vision, ERP/operations use cases

Benefits

  • 4-day work week (most weeks)

Eligibility notice: Access to technology subject to ITAR/EAR. Candidates must meet “U.S. Person” requirements.

Location: Pinellas Park, FL (onsite)

Compensation: USD 68,000 - 78,000 per year

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