Machine Learning Engineer Computer Vision AI

As a Senior Machine Learning Engineer, you will contribute heavily to core algorithm development while leveraging your specific strengths:

Core AI/ML Development:

• Design, train, and fine-tune high-performance deep learning models for complex vehicle attribute detection and optical character recognition (OCR) utilizing modern architectures (CNNs, Vision Transformers).
• Apply a Data-Centric AI approach, potentially leveraging Generative AI (Diffusion Models, GANs) for Synthetic Data Generation to overcome long-tail anomalies and obscured data in natural environments.
• Write clean, highly efficient, well-documented, and maintainable production-level code (Python/C++).

Specialized Domain Focus (Depending on your primary expertise):

• If specializing in Edge AI: Rigorously profile trained models to identify latency bottlenecks. Apply advanced optimization techniques (INT8/FP16 quantization, pruning) and convert models for deployment via TensorRT, TFLite, or ONNX on embedded hardware (ARM CPUs, custom NPUs, low-power devices).
• If specializing in Cloud AI & Data Mining: Architect and develop advanced machine learning algorithms and AI pipelines to mine actionable insights from massive cloud-based datasets. Focus on large-scale model training, integrating Vision-Language Models (VLMs) for complex text-to-image retrieval, and optimizing deep learning architectures to process and extract intelligence from high volumes of unstructured video/image data.

Experience & Education:

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Computer Vision, or a related technical field.
• 3+ years of rigorous professional experience in applied Machine Learning, Computer Vision, or AI Research/Development.
• Proven hands-on track record of transitioning models from research/prototypes into robust commercial production.

Technical Competencies:

• Deep practical mastery of AI frameworks, primarily PyTorch or TensorFlow.
• Strong programming proficiency in modern Python and/or C++ within Linux environments.
• Specialization Flexibility: Demonstrated deep expertise and practical achievement in AT LEAST ONE of the following domains:
  • Domain A (Edge AI): Hardware acceleration, edge model profiling, model compression, and deployment tools (TensorRT, TFLite, edge devices).
  • Domain B (Cloud AI & Data Mining): Deep expertise in large-scale AI model training, computer vision algorithms, and designing complex AI pipelines for handling massive datasets (e.g., extracting statistical patterns and intelligence from billions of records).

Preferred:

• Familiarity with Multimodal Foundation Models (e.g., CLIP, LLaVA) for Open-Set Recognition or Text-to-Image retrieval.
• Experience in building Agentic workflows or automated Active Learning systems.

• Compensation & bonus: 13th & 14th salary, AIP bonus, Holidays, Tet, and Long year service ...
• Social insurance, Health insurance, Unemployment insurance: by Social Insurance and Labor Law
• The regime of annual leave, company trip, and checkup examination
• Award for marriage, newborn
• We have AON insurance package for employee, spouse, and children every year
• You will be trained, learned & work with the best technical managers who help you improve various dev skills & career path
• You'll love working in our dynamic environment employees, young & active
• We love sport activities, as marathon, football, swimming,...
• Working time: From Monday to Friday | [protected info] & 13:00-17.30