**COME MEET CARBIGDATA!** We are the largest big data platform in the vehicle market. Our products focus on locating stolen, hijacked, and otherwise compromised vehicles, providing accurate real-time insights about the status of each located asset. Specializing in big data analytics, we serve major players across the automotive industry—including banks, finance companies, leasing firms, and insurance providers. **JOB DESCRIPTION:** We are seeking a **Senior Computer Vision Engineer** to lead advanced AI and computer vision initiatives, with emphasis on applied research, model acceleration, and development of scalable solutions. If you possess solid experience in computer vision, MLOps, inference acceleration, and enjoy solving complex challenges by transforming research into real-world products, this role is for you! You will operate with technical autonomy and leadership, participating from project conception through production deployment—including distributed training, intensive model optimization, synthetic dataset creation, and integration of cutting-edge MLOps pipelines. **DAILY RESPONSIBILITIES:** * Lead end-to-end computer vision projects: prototyping, experimentation, training, and deployment. * Develop, optimize, and maintain advanced models: CNNs, R-CNNs, LSTMs, Transformers, and Vision-Language Models (VLMs). * Work with models applied to **image captioning, VQA (Visual Question Answering)**, and internal AI agents. * Create, curate, and maintain synthetic and real-world datasets, applying data augmentation and simulation techniques. * Implement full AI pipelines: data preparation, training, validation, testing, deployment, and fine-tuning. * Apply image-to-text, OCR, captioning, and visual grounding techniques. * Accelerate inference using **CUDA, TensorRT, OpenVINO, ONNX Runtime, Cython, Numba, and CuPy**. * Read, interpret, and adapt scientific papers to implement state-of-the-art solutions. * Conduct proof-of-concepts and comparative studies of architectures and models. * Support and mentor mid-level and junior engineers, promoting engineering best practices, version control, and reproducibility. * Collaborate with technical teams to define scalable and efficient solutions. * Integrate models into MLOps pipelines, ensuring scalability and performance in production environments. * Continuously analyze results and propose improvements focused on performance, accuracy, and computational cost. **REQUIREMENTS AND QUALIFICATIONS:** * 5+ years of proven experience in applied computer vision or AI R&D. (Or 4 years with a Master’s degree, or 2 years with a Ph.D. in related fields.) * Degree in Engineering, Computer Science, Physics, Mathematics, or related disciplines. *A Master’s or Ph.D. is a strong differentiator.* * Proficiency in Python and libraries: **PyTorch, OpenCV, NumPy, Matplotlib, Scikit-learn, ultralytics, PySpark, Polars, and Transformers.** * Solid experience with **PyTorch and ONNX**. * Advanced experience with inference acceleration: **TensorRT, OpenVINO, CUDA, ONNX Runtime, Cython, Numba, CuPy**. * Deep knowledge of CNNs, segmentation, detection, tracking, and Transformer architectures. * Hands-on experience with **distributed training**, efficient GPU and/or cluster usage. * Experience with image processing and advanced preprocessing techniques. * Strong SQL skills and large-scale data manipulation. * Solid experience with Linux environments and Git version control. * Familiarity with NVIDIA drivers and libraries (CUDA, cuDNN). * Experience developing APIs with **FastAPI**. * Familiarity with MLOps and model versioning tools: **MLflow, DVC, Weights & Biases**. * Ability to read, interpret, and apply scientific literature in the field. * Analytical, innovative, results-oriented mindset with strong technical leadership capability. **PREFERRED QUALIFICATIONS:** * Experience creating **synthetic datasets**. * Experience in image captioning, VQA, and internal AI agent projects. * Cloud infrastructure experience (Azure, AWS, GCP). * Knowledge of **Docker and Kubernetes**. * Knowledge of **C++**. * Experience with **model interpretation techniques** (Grad-CAM, SHAP, Explainable AI). * Experience optimizing for **edge devices**. * Background in the automotive sector or image-based fraud detection. * Contributions to open-source projects or academic publications. **OUR BENEFITS:** * Meal/food allowance * Health insurance with co-payment (SulAmérica) * Dental insurance * Birthday day off * Life insurance * Childcare assistance * Remote work Here, you’ll have the opportunity to lead high-impact initiatives with technical freedom and access to the latest advancements in computer vision, AI, and MLOps. **#JoinCarBigData** Employment type: Full-time CLT Benefits: * Medical assistance * Dental assistance * Childcare assistance * Life insurance * Remote work * Meal allowance Selection question(s): * What is your expected salary?