76 to 100 of 227 Computer Vision Jobs

technical stakeholders. Ability to mentor and lead a team of data scientists, machine learning engineers, and data engineers, with strategic decision-making capability. Essential Qualifications Degree in Data Science, Computer Science, Engineering, Science, Information Systems and/or equivalent formal training plus work experience BS & 5+ years of work experience MS & 4+ years of work experience Proficient with machine … learning and statistics Proficient with Python, deep learning frameworks, Computer Vision, Spark Have produced production level algorithms Proficient in researching, developing, synthesizing new algorithms and techniques Excellent communication skills Desirable Qualifications Master's or PhD level degree 5+ years of work experience in a data science role Proficient with cloud computing environments, Kubernetes, etc. Familiarity with Data Science More ❯

we’d love to hear from you. Strong technical foundation: Degree in a STEM field (or equivalent experience) with hands-on expertise in applied statistics, machine learning, forecasting, NLP, computer vision, or optimization. Python expertise: Skilled in writing production-grade code in Python (e.g., using type hints and understanding the limitations of the language) and in building data More ❯

we’d love to hear from you. Strong technical foundation: Degree in a STEM field (or equivalent experience) with hands-on expertise in applied statistics, machine learning, forecasting, NLP, computer vision, or optimization. Python expertise: Skilled in writing production-grade code in Python (e.g., using type hints and understanding the limitations of the language) and in building data More ❯

municate technical concepts and AI/ML outcomes clearly to non-engineering stakeholders and business leaders; translate metrics and findings into actionable business insight. Required Qualifications : Bachelors degree in Computer Science, Engineering, Statistics, Mathematics or related quantitative field; Masters or PhD preferred.10-15 years of experience in software engineering and machine learning/AI engineering roles (building, deploying, operating … data engineers.Demonstrated ability to mentor/lead engineers, set engineering best practices, and collaborate communication, collaboration and stakeholder-management skills. Preferred Qualifications : Masters or PhD in a quantitative discipline (Computer Science, AI/ML, Statistics, etc.Experience with advanced AI areas such as large language models (LLMs), generative AI, reinforcement learning, computer vision, NLP at scale.Experience with vector More ❯

screening and precision oncology. This role is involved at every step of the solution development process, from ideation, design, implementation and deployment. This role strongly contributes to the strategic vision for the application of cutting-edge AI methodologies at Exact Sciences and work as a partner with biostatisticians, bioinformatics scientists, and data scientists to further our goal of helping … with an inclusion mindset and model these behaviors for the organization. Ability to work designated schedule. Ability to work on a mobile device, tablet, or in front of a computer screen and/or perform typing for approximately 85% of a typical working day. Ability to travel 5% of working time away from work location, may include overnight/… weekend travel. Minimum Qualifications Ph.D. in Statistics, Computational Biology, Computer Science, or related quantitative field as outlined in the essential duties, or master's degree in Statistics, Computational Biology, Computer Science, or related quantitative field as outlined in the essential duties plus 4 years of experience in lieu of a Ph.D. 3+ years of experience in statistics, computational More ❯

quality documentation for models, methodologies, and analysis processes to support reproducibility, training, and knowledge transfer. Basic Qualifications: US citizenship is required per contract. Bachelor's degree in Data Science, Computer Science, Geospatial Science or related field and 12-15 years of prior relevant experience or Master's with 10-13 years of prior relevant experience. May possess a Doctorate … insights. Preferred Qualifications: Advanced certifications in data science or machine learning. Familiarity with the customer mission and specific geospatial intelligence challenges. Expertise in advanced deep learning techniques, particularly in computer vision and image analysis for geospatial applications. Experience with cloud-native applications and distributed computing in a geospatial context. Familiarity with satellite data analysis, and remoting sensing models. More ❯

software engineering. Proven expertise in developing autonomous robotic solutions and working with 3D geometry. Strong software engineering skills and a practical, problem-solving mindset. An interest in machine learning, computer vision or computer graphics. Comfortable working hands-on with hardware in a lab environment. If you're passionate about automation and excited by the opportunity to contribute More ❯

Good to have: • Expertise in any one framework (TensorFlow, Pytorch, Keras) • Experience in a statistical programming language (e.g. R or Python) and applied machine learning and AI techniques (i.e computer vision, deep learning, conversational AI, and natural language processing frameworks.) • Experience with Transforms Architecture Design, specializing LLM (Zero/Few Shot Training) or any POC to create SML … Knowledge on Statistical Methods • OTHER SKILLS WE'D APPRECIATE 1. Understanding of NLP engines, Artificial Intelligence, Machine Learning frameworks etc. EDUCATION QUALIFICATION • Graduate in Engineering OR master's in computer applications. Process Skills: • General SDLC processes • Understanding of utilizing Agile and Scrum software development methodologies • Skill in gathering and documenting user requirements and writing technical specifications. Behavioral Skills: • Good More ❯

and support AI pipelines — from data preprocessing to model deployment and monitoring 💬 Collaborate with cross-functional teams to integrate AI solutions into production environments 🔍 Explore use cases in NLP, computer vision, and generative AI using frameworks such as PyTorch, TensorFlow, and Hugging Face 🔒 Contribute to model governance, compliance, and responsible AI practices What’s in it for you … development and wellbeing. 💰 Competitive Package – Performance-based bonus, private medical insurance, generous pension scheme, 30 days’ annual leave, and extensive wellbeing benefits. What We’re Looking For: 🎓 Degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, or a related field (Master’s preferred) 💼 Some proven industry experience applying AI or machine learning (internship, placement, or full-time role) 🐍 Strong More ❯

our customers imagine, design, and make a better world.We are a team of scientists, researchers, engineers, and designers working together on projects that range from learning-based design systems, computer vision, graphics, robotics, human-computer interaction, sustainability, simulation, manufacturing, architectural design and construction.This role will report to a Research Manager in the AI Lab. Responsibilities Develop new … practices. Explore new data sources and discover techniques for best leveraging data Minimum Qualifications A Master's or PhD in a field related to AI/ML, such as: Computer Science, Mathematics, Statistics, Physics, Linguistics, Mechanical Engineering, or related disciplines Strong background applying Deep Learning techniques (including implementing custom architectures, optimizing model performance, developing novel loss functions, metrics, and More ❯

regular follow up and training opportunities. A competitive salary with great advantages, such as a mobility budget, hospital insurance, performance related bonus, and more. Qualifications MSc level education in Computer Science, Applied Mathematics, Artificial Intelligence, Embedded Systems or related field. 2-4 years of experience building production quality ML/Deep Learning pipelines and models. Good understanding of ML … fundamentals and strong knowledge in a domain (e.g., Computer Vision, Deep Learning, NLP). Expert coding skills in Python and at least one of Scala, C++, Java. Hands on experience with SQL, PostgreSQL and other database languages. Experience with cloud based infrastructures (AWS/GCP/Azure). Knowledge of Unix command line and DevOps tools (Git, Docker More ❯

regular follow-up as well training opportunities to develop yourself A competitive salary with great advantages, like mobility budget, hospital insurance, performance-related bonus, Qualifications MSc level education in Computer Science, Applied Mathematics, Artificial Intelligence, Embedded Systems or related field of study. 2-4 years of experience in building production-quality ML/Deep Learning pipelines and models. Good … understanding of Machine Learning fundamentals and strong knowledge in a specific domain (e.g., Computer Vision, Deep Learning, NLP). Expert coding skills in Python and at least one of these languages: Scala, C++, Java. Hands-on experience with database management languages (e.g., SQL, PostgreSQL). Hands-on experience in cloud-based infrastructures (AWS/GCP/Azure). More ❯

regular follow-up as well training opportunities to develop yourself A competitive salary with great advantages, like mobility budget, hospital insurance, performance-related bonus, Qualifications MSc level education in Computer Science, Applied Mathematics, Artificial Intelligence, Embedded Systems or related field of study. 2-4 years of experience in building production-quality ML/Deep Learning pipelines and models. Good … understanding of Machine Learning fundamentals and strong knowledge in a specific domain (e.g., Computer Vision, Deep Learning, NLP). Expert coding skills in Python and at least one of these languages: Scala, C++, Java. Hands-on experience with database management languages (e.g., SQL, PostgreSQL). Hands-on experience in cloud-based infrastructures (AWS/GCP/Azure). More ❯

world impact, not just slideware. Build trust with clients through proof of value and live examples of implemented solutions. Required Technical Skills Machine Learning , Deep Learning , Natural Language Processing , Computer Vision , Generative AI , Reinforcement Learning , LLMs (e.g., GPT, Claude, Mistral, LLaMA, DeepSeek, etc.). Agent-based architectures , RAG , prompt engineering , chatbots , classification , summarization , speech-to-text , image understanding. … Skills & Experience Ideally 5+ years of professional experience, including 3+ years in AI and data science with evidence of practical, real-world contributions. Master's degree (or higher) in Computer Science, Data Science, Engineering, or a related discipline with a strong technical portfolio in AI/ML. Demonstrated hands-on experience developing and deploying AI/ML solutions. Strong More ❯

world impact, not just slideware. Build trust with clients through proof of value and live examples of implemented solutions. Required Technical Skills Machine Learning , Deep Learning , Natural Language Processing , Computer Vision , Generative AI , Reinforcement Learning , LLMs (e.g., GPT, Claude, Mistral, LLaMA, DeepSeek, etc.). Agent-based architectures , RAG , prompt engineering , chatbots , classification , summarization , speech-to-text , image understanding. … Skills & Experience Ideally 5+ years of professional experience, including 3+ years in AI and data science with evidence of practical, real-world contributions. Master's degree (or higher) in Computer Science, Data Science, Engineering, or a related discipline with a strong technical portfolio in AI/ML. Demonstrated hands-on experience developing and deploying AI/ML solutions. Strong More ❯

solutions, ensuring continuous value demonstration. Person Specification: To excel as a Principal Data Scientist, you will typically possess: Bachelor's/Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics, Engineering) or equivalent. Extensive professional experience in data science, with a proven track record of technically leading and successfully delivering complex, impactful, and production-grade … advanced deep learning architectures. Practical experience with, or demonstrable capability for, applications of Generative AI, Large Language Models (LLMs), and related areas such as Natural Language Processing (NLP) or Computer Vision, relevant to business solutions. Solid understanding of foundational statistics and experimental design. Familiarity with or experience on cloud platforms Impact and Achievements: As a Principal Data Scientist More ❯

solutions, ensuring continuous value demonstration. Person Specification: To excel as a Principal Data Scientist, you will typically possess: Bachelor's/Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics, Engineering) or equivalent. Extensive professional experience in data science, with a proven track record of technically leading and successfully delivering complex, impactful, and production-grade … advanced deep learning architectures. Practical experience with, or demonstrable capability for, applications of Generative AI, Large Language Models (LLMs), and related areas such as Natural Language Processing (NLP) or Computer Vision, relevant to business solutions. Solid understanding of foundational statistics and experimental design. Familiarity with or experience on cloud platforms Impact and Achievements: As a Principal Data Scientist More ❯

developing edge to cloud solutions for compute, connectivity, and storage, and ensuring interoperability across product lines. Requirements Qualifications - MUST HAVE - MINIMUM REQUIREMENTS: Bachelor's or Master's degree in Computer Engineering, Software Engineering, Computer Science, Electrical Engineering, or a related technical field. Minimum 7 years of relevant experience, or advanced degree with 5 years of experience. Strong written … to find opportunities to deliver customer solutions within cost, performance, and schedule requirements. Serve as systems level focal throughout the program lifecycle as systems are developed, championing the conceptual vision and adapting it to reality. Mentor and train across the program to ensure approach, philosophy, and technology are understood and implemented so they provide required capabilities and value to … to enable advanced analytics and AI driven insights. Compute Requirements Mapping - Define edge and cloud computing requirements for multi application software architectures, including real time AI workloads such as computer vision and image augmentation. Stakeholder Communication - Present technical roadmaps and updates to stakeholders at all levels, ensuring alignment with strategic goals. Cross Company Collaboration - Partner with IT and More ❯

ll act as a strategic partner to our hiring leaders, embedding yourself within their teams to find the world's best talent in highly competitive fields like Unity, Unreal, Computer Graphics, Machine Learning, AI, and Data Science. This isn't just about filling roles; it's about understanding the market, building our culture, driving change and shaping the future … track record of hiring specialized engineering or creative talent. Demonstrable experience and a deep network within at least one of our core domains: real-time 3D (Unity/Unreal), computer graphics, computer vision, or AI/Machine Learning/Data Science. A strategic and consultative mindset, with the ability to build strong, trusted relationships with senior stakeholders. More ❯

deliver impactful solutions, and adapt to evolving project needs, all while maintaining a strong commitment to continuous learning and team collaboration. Qualifications Hold a PhD or MSc degree in Computer Science, Artificial Intelligence, Data Science, or related field Key Skills and Experiences Proficient in machine learning and statistics, with hands-on experience in computer vision (CV) or More ❯

deliver impactful solutions, and adapt to evolving project needs, all while maintaining a strong commitment to continuous learning and team collaboration. Qualifications Hold a PhD or MSc degree in Computer Science, Artificial Intelligence, Data Science, or related field Key Skills and Experiences Proficient in machine learning and statistics, with hands-on experience in computer vision (CV) or More ❯

welfare through intelligent systems. Data & Insights: Collaborate with data scientists and product teams to integrate AI models, manage data pipelines, and expose actionable insights through our platform dashboards. Architectural Vision: Contribute significantly to the architectural design and technical roadmap of our platform, advocating for best practices, scalability, and performance. Mentorship & Collaboration: Provide technical leadership, mentor junior engineers, conduct code … Applied AI Knowledge: Practical experience integrating and consuming AI/ML models within a production environment. Familiarity with common AI/ML concepts (e.g., supervised/unsupervised learning, NLP, computer vision fundamentals). Experience working with AI APIs (e.g., OpenAI, Google Cloud AI, AWS AI Services) or integrating with custom-built models. Understanding of data processing for AI More ❯

English (German is a plus) Compensation : Competitive salary with performance-based bonus and advancement opportunities Your Responsibilities Design and optimize ML models for time series forecasting, anomaly detection, and computer vision (e.g., quality inspection) Apply advanced techniques such as LSTM, CNN, XGBoost, PCA, clustering, and Explainable AI (e.g., SHAP, LIME) Analyze structured and unstructured data from operational and More ❯

state-of-the-art AI models to life within real-world defence environments, supporting mission-critical systems in areas such as: Multi-sensor fusion (acoustic, optical, and underwater sensing) Computer Vision and Machine Vision systems Real-time model deployment onto embedded and edge hardware Key Responsibilities: Build, train, and optimise deep learning models for deployment on resource More ❯

state-of-the-art AI models to life within real-world defence environments, supporting mission-critical systems in areas such as: Multi-sensor fusion (acoustic, optical, and underwater sensing) Computer Vision and Machine Vision systems Real-time model deployment onto embedded and edge hardware Key Responsibilities: Build, train, and optimise deep learning models for deployment on resource More ❯