76 to 100 of 131 Computer Vision Jobs

in the software development life cycle. Automating quality assurance processes and cloud resource allocation in software development. Requirements PhD or advanced Masters in Statistics, Computer Science, Machine Learning & AI, Mathematics, or Physics. Hands-on experience in at least three of the following areas: Generative AI, Supervised and Unsupervised Learning … Deep Learning, Computer Vision, Recommendation Systems, Knowledge Graphs, Probabilistic Inference, Bayesian Statistics, Reinforcement Learning. Strong industry experience, with a focus on taking concepts and models from conception to production and quantifying business impact. Proficiency in Python programming. Expertise in GIT and the data science Python stack. Experience with more »

potential of AI within their organizations. Mentoring and guiding junior team members, fostering a culture of continuous learning and innovation. REQUIREMENTS: An education in Computer Science, Engineering, Mathematics, or a related discipline Demonstrated success in designing and delivering AI solutions within the insurance domain , Hands-on experience across predictive … modelling, natural language processing, computer vision, and reinforcement learning. Proficiency in ML frameworks (e.g., TensorFlow, PyTorch), programming languages (e.g., Python, Java), and cloud platforms (e.g., AWS, Azure, GCP). Thorough comprehension of insurance business processes and regulatory frameworks, with the ability to translate technical concepts into tangible business more »

improvement within the sales function. Collaborate with cross-functional teams to develop and execute an AI strategy that leverages machine learning, natural language processing, computer vision, and other AI technologies to drive innovation and competitive advantage. Lead the application of advanced analytics techniques, such as predictive modelling, machine … data. Collaborate closely with internal stakeholders to understand their data analytics needs, prioritise initiatives, and drive alignment with business objectives. Experience Required: degree in Computer Science, Information Systems, Data Science, or a related field; Master's degree preferred. years of experience in a leadership role within a data-driven more »

or CloudFormation > Data Wrangling > Systems: Linux, APIs, infrastructure design load balancing, VMs, PostgreSQL, vector dbs. Senior ML Learning Engineer desirable skills: Version control (Git), computer vision libraries, Big Data (Hadoop, Spark), Cloud AWS, Google Cloud, Azure, and a knowledge of secure coding techniques PCI-DSS, PA-DSS, ISO27001. more »

experts in the field, and the opportunity to contribute significantly to the Machine Learning Team! This company use satellite imagery and AI, ML, and Computer Vision to help keep the merchant navies of the world safe from threats out in the ocean. They've refined their product where more »

libraries for data management, statistical analysis, machine learning, and visualisation. Machine learning frameworks such as TensorFlow and PyTorch. Knowledge of Natural Language Processing and Computer Vision applications. Strong understanding of basic probability concepts. In-depth knowledge of the machine learning lifecycle and collaboration facilitation. Workflow/pipelining frameworks more »

libraries for data management, statistical analysis, machine learning, and visualisation. Machine learning frameworks such as TensorFlow and PyTorch. Knowledge of Natural Language Processing and Computer Vision applications. Strong understanding of basic probability concepts. In-depth knowledge of the machine learning lifecycle and collaboration facilitation. Workflow/pipelining frameworks more »

libraries for data management, statistical analysis, machine learning, and visualisation. • Machine learning frameworks such as TensorFlow and PyTorch. • Knowledge of Natural Language Processing and Computer Vision applications. • Strong understanding of basic probability concepts. • In-depth knowledge of the machine learning lifecycle and collaboration facilitation. • Workflow/pipelining frameworks more »

We're a fast growing AI consultancy, working on a broad range of projects that include: computer vision (detection, segmentation, generation) reinforcement learning time series prediction simulations (continuous and event-based) optimization For more concrete examples see our portfolio on https://dotsquarelab.com We are working from … deployments set up, track experiments and provide a high-level summary to the research team Qualifications Must have: MSc or PhD in ML or Computer Science good Python coding skills extensive knowledge of machine learning techniques (at least 1 from the list above) working knowledge of Linux systems Good more »

We're a fast growing AI consultancy, working on a broad range of projects that include: computer vision (detection, segmentation, generation) reinforcement learning time series prediction simulations (continuous and event-based) optimization For more concrete examples see our portfolio on https://dotsquarelab.com We are working from … deployments set up, track experiments and provide a high-level summary to the research team Qualifications Must have: MSc or PhD in ML or Computer Science good Python coding skills extensive knowledge of machine learning techniques (at least 1 from the list above) working knowledge of Linux systems Good more »

functions of the company •Document and communicate the results and insights of AI projects to exec-level audience •Ph.D. level degree in artificial intelligence, computer science, engineering, mathematics, or related field; alternatively, a comparable industry career with a proven track record of successful projects •Experience in developing and deploying … consumers •Research, architect and implement state-of-the-art AI techniques, such as large generative models, multi-modal models, reinforcement learning, natural language processing, computer vision, etc., for digital safety applications •Establish best AI practices and follow them across project portfolio more »

Software Development & Support (Digital) Travel Required : None Clearance Required : Ability to Obtain Public Trust What You Will Do : We are currently searching for a Computer Programmer to serve and contribute as a senior member of the Division of Technical Resources (DTR) IT team in providing technical solutions to Central … Utility Plant (CUP) leadership on vision and strategy on technology projects, process streamline and automation. This role will support the DTR IT team in creating complex technical projects including various web applications, dashboards, and data analytics related tools for DTR and CUP which integrate with OSISoft PI and Maximo … resolve or escalate issues based on criteria. Use analytic methods and advanced knowledge in machine learning, statistics, text mining, natural language processing, computational semantics, computer vision, and data science to develop creative solutions to complex real-world problems. This may involve implementing new software to support data tracking more »

with machine learning Python frameworks like PyTorch, Tensorflow, and Scikit-Learn Desirable Skills for Senior Candidates: Familiarity with related academic fields such as NLP, Computer Vision, or Deep Learning Demonstrable industry experience with significant impact in a commercial setting Experince with cloud technologies, especially AWS Strong Python more »

Background in Data Governance and Data Catalog solutions: Axon, Informatica EDC, Colibra, Purview, etc. Previous experience in Artificial Intelligence techniques: ML/Deep Learning, Computer Vision, NLP, etc General information: Start Date: ASAP Length of Contract: 1 year (minimum) Work Location: Madrid Remote working. (It may be necessary more »

Background in Data Governance and Data Catalog solutions: Axon, Informatica EDC, Colibra, Purview, etc. Previous experience in Artificial Intelligence techniques: ML/Deep Learning, Computer Vision, NLP, etc General information: Start Date: ASAP Length of Contract: 1 year (minimum) Work Location: Madrid Remote working. (It may be necessary more »

on smashing goals and loving what they do! If you're a Lead Data Scientist in the Financial Services with experience in..... Statistical Models, Computer Vision, Predictive Analytics, Data Visualization, Large Language Models (LLM), NLP, AI, Machine Learning, MLOPs Python, Pyspark, Azure, Agile, MetaBase, then please apply. You more »

libraries for data management, statistical analysis, machine learning, and visualisation. • Machine learning frameworks such as TensorFlow and PyTorch. • Knowledge of Natural Language Processing and Computer Vision applications. • Strong understanding of basic probability concepts. • In-depth knowledge of the machine learning lifecycle and collaboration facilitation. • Workflow/pipelining frameworks more »

libraries for data management, statistical analysis, machine learning, and visualisation. • Machine learning frameworks such as TensorFlow and PyTorch. • Knowledge of Natural Language Processing and Computer Vision applications. • Strong understanding of basic probability concepts. • In-depth knowledge of the machine learning lifecycle and collaboration facilitation. • Workflow/pipelining frameworks more »

libraries for data management, statistical analysis, machine learning, and visualisation. • Machine learning frameworks such as TensorFlow and PyTorch. • Knowledge of Natural Language Processing and Computer Vision applications. • Strong understanding of basic probability concepts. • In-depth knowledge of the machine learning lifecycle and collaboration facilitation. • Workflow/pipelining frameworks more »

with our development team, you'll be instrumental in packaging our software into containerized releases. Your projects will span Large Language Models (LLMs) and Computer Vision (CV), with a primary focus on extracting information from financial and business documents for subsequent processing. Operating within a compact machine learning more »

identify opportunities, and drive AI initiatives across the company. Key Responsibilities: Develop AI Strategy: Collaborate with key stakeholders to define the organization's AI vision, goals, and roadmap. Identify potential AI use cases and prioritize them based on business impact and feasibility. AI Opportunity Assessment: Conduct thorough research and … assess the competitive landscape to identify opportunities for innovation and improvement. Qualifications: Bachelor's or Master's degree in a relevant field such as computer science, engineering, or business administration. Extensive experience (typically 8+ years) in strategic planning, business development, or a related role, with a focus on AI … technologies and applications. Strong understanding of AI technologies, including machine learning, natural language processing, computer vision, and data analytics. Solid knowledge of business strategy, market dynamics, and industry trends related to AI. Excellent analytical and problem-solving skills, with the ability to translate complex concepts into clear strategies more »

identify opportunities, and drive AI initiatives across the company. Key Responsibilities: Develop AI Strategy: Collaborate with key stakeholders to define the organization's AI vision, goals, and roadmap. Identify potential AI use cases and prioritize them based on business impact and feasibility. AI Opportunity Assessment: Conduct thorough research and … assess the competitive landscape to identify opportunities for innovation and improvement. Qualifications: Bachelor's or Master's degree in a relevant field such as computer science, engineering, or business administration. Extensive experience (typically 8+ years) in strategic planning, business development, or a related role, with a focus on AI … technologies and applications. Strong understanding of AI technologies, including machine learning, natural language processing, computer vision, and data analytics. Solid knowledge of business strategy, market dynamics, and industry trends related to AI. Excellent analytical and problem-solving skills, with the ability to translate complex concepts into clear strategies more »

the video creation experience, making it more intuitive and accessible for all users. Required Skills and Experience: Hold a Master's or PhD in Computer Science, Engineering, or a similar discipline. 1-3 years of experience in machine learning and computer vision, with a focus on the more »

the video creation experience, making it more intuitive and accessible for all users. Required Skills and Experience: Hold a Master's or PhD in Computer Science, Engineering, or a similar discipline. 1-3 years of experience in machine learning and computer vision, with a focus on the more »

technical leadership for tasks and programs Basic Qualifications Bachelor's degree with 4+ years or Master's degree with 2+ years of experience in Computer Science, Electrical Engineer, Physics, or Applied Mathematics. Strong programming ability in C/C++ for Linux enviroments Knowledge of code configuration control Ability to … extracting information from LIDAR data Experience with SQL and RDMS Experience with real time software development Experience with OpenGL/CUDA development Experience developing computer vision applications Experience with automatic target recognition technologies and concepts Experience processing radar/SAR image data Experience with machine learning techniques applied more »