8 of 8 Contract Computer Vision Jobs

analyse complex datasets and develop data models. You will be experienced in data visualisation, understanding how to contextualise results and communicate insights to both technical and non-technical audiences. Computer vision experience is essential for this role. Responsibilities Work with cross-functional teams to identify business problems and translate them into data-driven solutions. Develop algorithms and statistical … scientist using Python and a range of libraries (Numpy, Pandas, Scikit-Learn, Matplotlib, Plotly etc.). Strong expertise in statistical modelling, machine learning, and data mining techniques. Experience in computer vision is essential. Data engineering (pipelines, databases, infrastructure), ideally with AWS experience would be an advantage. Experience with data analysis, data visualization, and data cleansing. Experience in applying … data science within the context of engineering, manufacturing, or industrial operations desirable. Degree in Computer Science, Mathematics, Statistics, Data Science, or a related field. More ❯

enhance customer experience. Full-Stack Development: Architect end-to-end solutions, ensuring seamless integration and optimal performance across the tech stack. Technical Innovation: Leverage technologies like large language models, computer vision, and predictive analytics to tackle complex challenges. Cross-functional Collaboration: Partner with Innovation Designers to align technical development with design concepts and business goals. Agile Methodology : Employ … experience as a full-stack developer with proficiency in multiple languages and technologies, particularly in AI engineering. Hands-on experience with advanced technologies such as large language models (LLMs), computer vision, and data science. Strong background in innovation and POC development, with a focus on idea generation rather than product management. Experience in startups or small businesses, adept More ❯

such as NeurIPS, ICML, ICLR, EMNLP, CVPR, ICCV, ECCV, AAAI, ACL, IEEE TPAMI, IEEE TNNLS, IJCV, and JMLR. Skills and Qualifications Pursuing or completed PhD in ML/AI, Computer Science/Engineering, or related disciplines. Proficiency in mathematics (calculus, probability, statistics, linear algebra, optimization) and computer science (algorithms, data structures, parallel/distributed computing). Strong fundamentals … in Machine Learning, Computer Vision, and Deep Learning. Hands-on experience in areas such as Generative AI, Foundation Models, Parameter-Efficient Fine-Tuning (PEFT), Data/Model Privacy, or Model Optimization for Multi-Task Learning. First-author publications in top ML/AI conferences/journals (e.g., ICML, NeurIPS, ICLR, CVPR, ECCV, IEEE TPAMI, AAAI). Experience in … results-oriented attitude. Strong problem-solving and debugging skills. Desirable Skills: Expertise in Image/Video generation, PEFT-LoRA, Diffusion/Autoregressive Models. Experience in Knowledge Distillation. Experience in computer graphics and rendering for visualization. More ❯

large datasets, building predictive models, and implementing intelligent automation systems. Key Responsibilities: Design, build, and deploy AI/ML models for real-world business use cases. Work with NLP, computer vision, and generative AI frameworks where applicable. Develop data pipelines and integrate models into production systems. Collaborate with data scientists, engineers, and product teams to define AI solutions. … scalability, performance, and ethical AI practices. Required Skills & Experience: Strong experience in Python, TensorFlow, PyTorch, Scikit-learn or similar frameworks. Solid understanding of machine learning, deep learning, NLP, or computer vision. Hands-on with data engineering, model deployment (MLOps), and cloud platforms (AWS, Azure, GCP). Strong problem-solving, algorithmic, and analytical skills. Knowledge of big data tools (Spark More ❯

Libraries including: o Transformers/Hugging Face for working with pre-trained LLMs, fine-tuning, and inference o PyTorch for deep learning model development and training o OpenCV for computer vision tasks and image preprocessing in object detection o PIL/Pillow for image manipulation and format conversion o YOLO object detection frameworks Core Python Skills : * Proficiency in More ❯

Libraries including: o Transformers/Hugging Face for working with pre-trained LLMs, fine-tuning, and inference o PyTorch for deep learning model development and training o OpenCV for computer vision tasks and image preprocessing in object detection o PIL/Pillow for image manipulation and format conversion o YOLO object detection frameworks Core Python Skills : * Proficiency in More ❯

Cloud & ML Infrastructure Engineer About Us We're a fast-growing startup building breakthrough AI technology at the intersection of 3D, computer vision, and spatial computing. Our work is shaping the way industries - from robotics and AR/VR to gaming and film - create and interact with immersive content. We thrive on bold ideas, fearless problem-solving, and More ❯

years of experience in data analysis , QA , or content evaluation . Strong attention to detail and critical thinking. Experience with Python and SQL (script running, debugging). STEM background (Computer Science, Engineering, Physics, etc.). Ability to thrive in fast-moving, highly collaborative environments. Nice to Have: Knowledge of computer vision or generative AI (e.g., text-to More ❯