Job Summary
Objectives & Responsibilities
- Assist in designing and building GPU-accelerated micro-services for vision, LLM, and RAG workloads
- Support the full model lifecycle: data capture, training, evaluation, packaging, and CI/CD deployment (Docker, Kubernetes, NVIDIA NIM)
- Learn inference optimization with TensorRT, ONNX-Runtime, quantization, batching, and Triton
- Help develop agent orchestration logic (LangChain, CrewAI) that chains tools, prompts, and APIs
- Contribute to building and maintaining automated visual inspection systems using computer vision models for quality control, defect detection, and anomaly identification in manufacturing and IoT environments
- Support integration of high-throughput camera or sensor feeds with cloud knowledge bases for multimodal insights
- Document your work and learning progress while following established coding standards and practices
Requirements & Qualifications
- 1-2 years of software development experience with proficiency in Python and basic AI/ML frameworks (PyTorch, TensorFlow)
- Understanding of basic machine learning concepts including:
- How neural networks work at a high level
- Basic image processing and computer vision concepts
- Familiarity with data analysis and visualization
- Basic experience with ML infrastructure tools:
- Basic API development or web frameworks
- GPU computing concepts and basic performance optimization
- Familiarity with building microservices architectures
- Willingness to learn containerization, cloud platforms, and MLOps practices
- Strong problem-solving skills and ability to work collaboratively in a team environment
- Foundation in software engineering principles, version control (Git), and collaborative development
Preferred Qualifications
- Academic coursework or personal projects involving machine learning or computer vision
- Familiarity with python environment and data science workflows
- Basic understanding of databases and data storage concepts
Location
Remote or on site in Boca Raton, Florida or São Paulo, Brazil
or continue with email
Objectives & Responsibilities
- Assist in designing and building GPU-accelerated micro-services for vision, LLM, and RAG workloads
- Support the full model lifecycle: data capture, training, evaluation, packaging, and CI/CD deployment (Docker, Kubernetes, NVIDIA NIM)
- Learn inference optimization with TensorRT, ONNX-Runtime, quantization, batching, and Triton
- Help develop agent orchestration logic (LangChain, CrewAI) that chains tools, prompts, and APIs
- Contribute to building and maintaining automated visual inspection systems using computer vision models for quality control, defect detection, and anomaly identification in manufacturing and IoT environments
- Support integration of high-throughput camera or sensor feeds with cloud knowledge bases for multimodal insights
- Document your work and learning progress while following established coding standards and practices
Requirements & Qualifications
- 1-2 years of software development experience with proficiency in Python and basic AI/ML frameworks (PyTorch, TensorFlow)
- Understanding of basic machine learning concepts including:
- How neural networks work at a high level
- Basic image processing and computer vision concepts
- Familiarity with data analysis and visualization
- Basic experience with ML infrastructure tools:
- Basic API development or web frameworks
- GPU computing concepts and basic performance optimization
- Familiarity with building microservices architectures
- Willingness to learn containerization, cloud platforms, and MLOps practices
- Strong problem-solving skills and ability to work collaboratively in a team environment
- Foundation in software engineering principles, version control (Git), and collaborative development
Preferred Qualifications
- Academic coursework or personal projects involving machine learning or computer vision
- Familiarity with python environment and data science workflows
- Basic understanding of databases and data storage concepts
Location
Remote or on site in Boca Raton, Florida or São Paulo, Brazil
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