If you like these keywords you'll love this role: We are currently looking for an Azure Data Engineer that can define intelligent data solutions, and help our clients transform data into actionable insights. As an Azure Data Engineer you will be a crucial part of our key projects by architecting & developing intelligent data solutions. From data pipelines, structures, and databases to designing data models and implementing new data platforms, you know how it's done. If you do not feel fully confident that you meet the requirements above, please don't worry. Together we'll discover what you can bring to the table, in which role you would fit best and how you could potentially grow at Devoteam.

We exist to wow our customers. We know we're doing the right thing when we hear our customers say, "How did we ever live without Coupang?" Born out of an obsession to make shopping, eating, and living easier than ever, we're collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce. We are proud to have the best of both worlds -- a startup culture with the resources of a large global public company.

Have experience working effectively in globally distributed teams.

The Machine Learning Engineering team has developed a prediction framework used by all Teads teams. Find open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general, filtered by job title or popular skill, toolset and products used.

Shopify is now permanently remote and working towards a future that is digital by default. Learn more about what this can mean for you. At Shopify, we build products that help entrepreneurs around the world start and grow their business. Data is a crucial part of Shopify's mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization.

CapTech is a team of master builders, creators, and problem solvers who help clients grow efficient, successful businesses. We unite diverse skills and perspectives to transform how data, systems, and ingenuity enable each client to advance what's possible in a changing world. As perceptive partners, our U.S-based consultants find inspiration in the unknown and enjoy getting our hands dirty solving our clients' myriad of challenges. Across industries and business goals, we fuse technical depth and analytical prowess with creative savvy to move clients forward. This drive helps each organization use technology, management, and insight to turn ideas into action.

Sword is a leader in data insights, digital transformation, and technology services with a substantial reputation in software development, complex business IT projects and mission critical operations. With over 2,500 Technology, Digital & Software specialists working globally, we unlock solutions to the most critical business technology challenges. Working within our Professional Service Business Unit as a Data Engineer, this position will suit someone who can provide architectural and data engineering subject matter expertise in our client projects. You will join a highly experienced team in our Data & AI practice who are supporting Sword's clients on their journey to become data driven organisations. Sword offers career paths in rapidly evolving technology spaces including Data & AI, Modern Managed Services, Information Management, Digital Services, Content Services, and Modern Workplace Transformation.

I'm here to tell you about a journey from the old school to the cutting edge. You see, back in the day, we had dudes like Roland Barthes waxing poetic about the magic of the photograph. But now, we live in a world where machines create their masterpieces.

By combining the power of machine learning and the elegance of the Flutter framework, you can create truly remarkable and intelligent apps that can amaze and delight users. In this article, we will guide you through the exciting journey of building a machine-learning model in Python and seamlessly integrating it into a Flutter app. Python is a versatile and powerful language, favoured by many data scientists and developers for its vast ecosystem of libraries and frameworks such as TensorFlow and sci-kit-learn. It allows you to quickly build, train and deploy machine learning models that can make predictions, classify data and much more. Flutter, on the other hand, is a revolutionary mobile app development framework that allows you to create visually stunning, high-performance and responsive apps for both Android and iOS platforms. It's quickly gaining popularity among developers for its ease of use, fast development cycle and ability to create beautiful, customisable and interactive UIs.

Radio amateur William "VE4VR" Franzin has put a little artificial intelligence on the airwaves by creating a voice assistant powered by OpenAI's controversial ChatGPT -- accessible using a radio capable of Very High Frequency (VHF) transmissions. "In this case we're using a D-STAR digital voice repeater on VHF," Franzin explains of the project, "which will receive my test transmission, which is digital voice, and then that's sent over the internet to a server in a a data center which has a Northwest Digital Radio ThumbDV AMBE transcoder plugged into it. The voice is transcoded to plain digital voice, it's run through a speech-to-text engine, which is then run through ChatGPT and then all the way back, transcoded, and comes back to the radio." OpenAI launched ChatGPT last November, offering a simple webchat-like interface to its text-based generative adversarial network (GAN) technology. Type in a message, and ChatGPT replies -- mimicking understanding but, in reality, simply stringing together the statistically most-likely words you would expect from a response.