76 to 100 of 198 Computer Vision Jobs

edge AI and data-driven solutions. As part of there dynamic team, you'll work on innovative projects across Machine Learning, Deep Learning, NLP, Computer Vision, and AI Automation. Key Tasks: Solve challenging business problems with advanced AI and analytics. Build, deploy, and scale ML models using Python … solutions, from prototyping to integration. Support client engagements and help drive AI strategy and innovation. You will have: Master's degree in Computer Science, Engineering etc. 4- 5 years + hands on experience in AI technology and solution delivery. Strong programming skills (Python, Node.js, web technologies) and a passion ...

engineering problems Experience with MLOps tools such as Airflow, MLflow, and containerisation (e.g., Docker) Strong data-visualisation and storytelling skills Interest in materials discovery, computer vision, big data, or optimisation Collaborative communicator, organised, proactive, and curious Desired Skills Masters degree in ML, mathematics, or statistics Knowledge of probabilistic ...

analytics, marketing, finance, digital channels)Hands-on experience implementing production-scale machine learning systems in one or more domains (i.e., personalization, natural language processing, computer vision). Knowledge of DevOps and automation best practices. Knowledge of statistics and statistical modeling methods. Knowledge of model management and model versioning ...

analytics, marketing, finance, digital channels)Hands-on experience implementing production-scale machine learning systems in one or more domains (i.e., personalization, natural language processing, computer vision). Knowledge of DevOps and automation best practices. Knowledge of statistics and statistical modeling methods. Knowledge of model management and model versioning ...

sentiment analysis). - Apply image object detection techniques, as needed, to identify items of interest in pictures. - Perform tasks related to image generation and computer vision, leveraging techniques such as generative adversarial networks and convolutional neural networks. - Leverage image forensic techniques to identify generated images and images that ...

Lynx Recruitment are looking for an Automation Applications Engineer to help design, install, and support advanced automation systems with a strong focus on machine vision and machine learning technologies. In this hands-on role, you'll collaborate with clients and internal engineering teams to ensure seamless system integration … performance across a range of automation projects. Key Responsibilities Install, configure, and optimise automation and machine vision systems, including AWS ML or similar integrations. Develop and refine vision algorithms for inspection and process control. Conduct maintenance, troubleshooting, and performance testing of automated systems. Work directly with clients ...

valuable market differentiator for the company through intelligent predictions, with a strong focus on both traditional and generative AI, particularly in the field of computer vision. You will help build out best practices and procedures and influence our growing company's culture and team. An ideal candidate loves seeking … metrics to effectively monitor their performance across a vast network of thousands of product installations. Minimum Qualifications Bachelor's or Master's degree in Computer Science or a related quantitative field (e.g., Data Science, Mathematics, Economics, Physics) with relevant industry experience. 5+ years of industry experience with Python. Proficiency ...

years of hands-on experience building and deploying AI models, ideally in agentic AI, robotics, autonomous systems, or real-time applications Strong background in computer vision, deep learning, or multimodal architectures (VLMs, transformers, or agents) Proficiency in Python and frameworks like PyTorch or TensorFlow; bonus for JAX, CUDA … time inference experience Solid grasp of modern model training techniques including distributed training, fine-tuning, and reinforcement learning Bachelor's degree or higher in Computer Science, AI, or related technical field, MS/PhD preferred Demonstrated ability to take research from prototype to product in fast-moving environments Bonus ...

moves freight. Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer. Meet the Team: As a Staff Machine Learning Engineer focused on Road & Lane Detection, you will lead … Model Dev ML org - from concept through production-grade model maturity. Research, design, and train advanced neural architectures (e.g., multi-camera BEV transformers, LiDAR-vision fusion models, topological lane graph networks) to detect, segment, and model road structures and lane connectivity. Lead data strategy for this domain - defining data ...

that will power the next generation of EMS and elevate the impact Celonis has on our customers. These components may span the areas of computer vision, natural language processing, data mining, recommendation, knowledge base, business intelligence, and other AI technologies. The work you'll do Deeply understand … accuracy of such data across thousands of enterprise customers. The qualifications you need Bachelor's degree, Master's degree, or equivalent practical experience in Computer Science or related fields) with 3-5+ years of experience PhD degree (in Computer Science or related fields) with 1-3+ ...

team at Woven by Toyota tackles a wide range of exciting challenges-from optimization in large-scale sensor and visual data, to 3D geometric computer vision and pioneering advancements in machine learning for perception autolabeling. Enabling ADAS stack development for Toyota vehicles, our mission is to process petabytes … daily basis with other software and ML engineers and researchers to tackle some of the most challenging problems in AI, robotics, and computer vision. WHO ARE WE LOOKING FOR? The Autolabeling team is looking for an experienced Machine Learning engineer to join us in developing a state ...

engineering practices. Document technical specifications and maintain comprehensive records of algorithm development processes. Qualifications Skills, Experience, Education, & Training: Master's or PhD degree in Computer Science, Engineering, or a related field. A minimum of five years' experience in machine learning and/or computer vision is required. ...

ensuring our clients stay ahead in a rapidly evolving digital landscape. Responsibilities And Duties Develop and optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition). Train and fine-tune deep learning models ...

ensuring our clients stay ahead in a rapidly evolving digital landscape. Responsibilities And Duties Develop and optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition). Train and fine-tune deep learning models ...

ensuring our clients stay ahead in a rapidly evolving digital landscape. Responsibilities And Duties Develop and optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition). Train and fine-tune deep learning models ...

ensuring our clients stay ahead in a rapidly evolving digital landscape. Responsibilities And Duties Develop and optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition). Train and fine-tune deep learning models ...

ensuring our clients stay ahead in a rapidly evolving digital landscape. Responsibilities And Duties Develop and optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition). Train and fine-tune deep learning models ...

ensuring our clients stay ahead in a rapidly evolving digital landscape. Responsibilities And Duties Develop and optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition). Train and fine-tune deep learning models ...

ensuring our clients stay ahead in a rapidly evolving digital landscape. Responsibilities And Duties Develop and optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition). Train and fine-tune deep learning models ...

ensuring our clients stay ahead in a rapidly evolving digital landscape. Responsibilities And Duties Develop and optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition). Train and fine-tune deep learning models ...

ensuring our clients stay ahead in a rapidly evolving digital landscape. Responsibilities And Duties Develop and optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition). Train and fine-tune deep learning models ...

ensuring our clients stay ahead in a rapidly evolving digital landscape. Responsibilities And Duties Develop and optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition). Train and fine-tune deep learning models ...

ensuring our clients stay ahead in a rapidly evolving digital landscape. Responsibilities And Duties Develop and optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition). Train and fine-tune deep learning models ...

ensuring our clients stay ahead in a rapidly evolving digital landscape. Responsibilities And Duties Develop and optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition). Train and fine-tune deep learning models ...

ensuring our clients stay ahead in a rapidly evolving digital landscape. Responsibilities And Duties Develop and optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition). Train and fine-tune deep learning models ...