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Software Engineer - Machine Learning - IoT BigData Jobs


Job Description Job Description: The Perceptual Computing Group (PerC) of Intel Corporation is looking to fill the position of Machine Learning Software Engineer to work on new vision-based sensing products. As a leader in mobile depth camera technology, PerC is exploring new machine-learning based solutions for problems that have been traditionally dominated by classical computer vision techniques. In this role, the candidate will apply modern deep learning techniques to solve problems in hand and human pose estimation along with object detection and tracking. The position involves working in a highly cross-disciplinary prototyping lab alongside engineers in the domain of computer vision, robotics, and virtual reality. ResponsibilitiesApply state-of-the-art machine learning techniques and architectures to solve pose estimation and recognition problems in a variety of domains including virtual/augmented reality, robotics, and embedded computing.Build data collection and analysis tools using a variety of camera sensor data (RGB, IR, and depth).

Director, Machine Learning & Data Science


Design and build personalization engines/learning systems using advanced machine learning and statistical techniques Help the company in identifying tools and components, and building the infrastructure for AI/ML Research and brainstorm with internal partners to identify advanced analytics opportunities to advance automation, help with knowledge discovery, support decision-making, gain insights from data, streamline business processes, and enable new capabilities Perform hands-on data exploration and modeling work on massive data sets. Perform feature engineering, train the algorithms, back-test models, compare model performances and communicate the results Work with senior leaders from all functions to explore opportunities for using advance analytics Provide technical leadership mentoring to talented data scientists and analytics professionals Guide data scientists and engineers in the use of advanced statistical, machine learning, and artificial intelligence methodologies Provide thought leadership by researching best practices, extending and building new machine learning and statistical methodologies, conducting experiments, and collaborating with cross functional teams Develop end-to-end efficient model solutions that drive measurable outcomes. These technical skills include, but not limited to, regression techniques, neural networks, decision trees, clustering, pattern recognition, probability theory, stochastic systems, Bayesian inference, statistical techniques, deep learning, supervised learning, unsupervised learning Solid understanding and hands on experience working with big data, and the related ecosystem, both relational and unstructured. Executing on complex projects, extracting, cleansing, and manipulating large, diverse structured and unstructured data sets on relational – SQL, NOSQL databases Working in an agile environment with iterative development & business feedback Providing insights to support strategic decisions, including offering and delivering insights and recommendations Experience in statistics & analytical modeling, time-series data analysis, forecasting modeling, machine learning algorithms, and deep learning approaches and frameworks. Deliver robust, scale and quality data analytical applications in a cloud environment.

Software Engineer, Data Science - IoT BigData Jobs


Job Description You'll be part of the team driving the success of Intel's New Devices Group, with a focus on sports products. These products will help athletes, coaches and teams improve performance.We are seeking a software engineer to develop machine learning algorithms for multiple sensor platforms and cameras. You will own creation of gesture recognition algorithms used to derive performance metrics of an athlete or team. You will extract insights from the rapidly evolving world of sports analytics to make a meaningful impact on the game.The ideal candidate will have statistical, mathematical, and predictive modelling skills. Any sport domain expertise will be an asset.We are a team that believes we achieve our best results when we work together, so candidates must be based in Santa Clara, California for this position.

Machine learning job: Director of Machine Learning at Walmart (San Bruno, California, United States)


Director of Machine Learning at Walmart San Bruno, California, United States (Posted Jun 9 2019) About the company The Walmart US eCommerce team is rapidly innovating to evolve and define the future state of shopping. As the world's largest retailer, we are on a mission to help people save money and live better. With the help of some of the brightest minds in merchandising, marketing, supply chain, talent and more, we are reimaging the intersection of digital and physical shopping to help achieve that mission. Job description As Director of Machine Learning Science, you will lead a highly innovative team to strategically leverage the vast amounts of data from the World's largest Omni-channel retailer to better serve the Customer. Your primary focus will be building advanced data mining techniques, spearheading statistical analysis aligned to key business goals, and architecting high quality prediction systems to integrate with our Walmart Labs products, using advance machine learning techniques.

Top Open Artificial Intelligence Jobs in India in December 2020


IBM is looking for Software Engineers to join an AIOps Team which will leverage AI to build solutions using open source and commercial technologies to prevent IT outages at scale. As an Automation Engineer in the Watson AIOps team, a candidate will be responsible for Develops test strategies, procedures and automated test cases based on a grounded understanding of client quality expectations. He/she will work within an agile development team in a dynamic fashion having the ability to upskill when needed. They also will require to foster a high-performing environment that enables teams to improve over time by doing things correctly, quickly and consistently.