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Tavus uses artificial intelligence deepfake technology to generate realistic videos that perfectly imitate customer's gestures and voice- it's pretty stellar. Are you excited to get your hands dirty and join the digital marketing revolution.
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Hands-on experience in designing solutions and full stack development in modern technologies for large enterprise technology platforms and systems. Hands-on experience in coding Microservices in Java, building UI/UX using JavaScript frameworks (e.g. React, Angular), using Messaging e.g. Kafka, developing databases objects in: Oracle, Cloud Native DBs.
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We're looking for a Staff Full Stack Engineer to work on the next-gen user experience for Tavus customers. Experience working on online video editing platforms. is a leading AI synthetic media startup focused on making personalized video experiences scalable.
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Cloud, artificial intelligence, machine learning, mobile, Experience in providing hands-on, technical leadership to large scale, enterprise level software engineering efforts in a product-centric environment.
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Hands on full stack development experience using React, Java 11 or higher, Spring Boot and SQL. Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.
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Hands-on coding experience using Typescript/Javascript, Java, Python, C, C. Backed by artificial intelligence and machine learning, Jerry simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs.
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Cloud, artificial intelligence, machine learning, mobile, Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies Exposure to cloud technologies.
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As a Principal Software Engineer at JPMorgan Chase within the Consumer and Community Banking Connected Commerce line of business, you, you provide expertise and engineering excellence as an integral part of an agile team to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way.
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Cloud, artificial intelligence, machine learning, mobile, In-depth knowledge of the financial services industry and their IT systems Practical cloud native experience Preferred qualifications, capabilities, and skills.
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We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws.
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Evolve the platform to handle new statistical methodologies, machine learning and artificial intelligence technologies and advanced causal inference and data mining techniques. Hands-on experience working with front end technologies like React and Typescript, and fundamental understanding of Javascript language specifics.
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Work on dramatically enhancing and simplifying the Experimentation Configuration platform which is used by almost every engineer in the company. Deal with high volume (on the order of 80M QPS) and low latency (on the order of microseconds) evaluations for both experiments and feature flags.
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Solid understanding of machine learning concepts and algorithms, with hands-on experience in developing and deploying models using libraries/frameworks like TensorFlow, PyTorch, or scikit-learn.
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We began using Covey Scout for Inbound on August 21, 2023. You will report into the engineering manager on our Experimentation Configuration Platform team in our Data Platform organization.
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Hands-on practical experience in system design, application development, testing, and operational stability. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more.
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hands on artificial intelligence jobs Title: stack engineer in Morgan-city, Louisiana
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As you may already know, there has been a lot of talk lately about the possibility of a TikTok ban. While this has not yet come to fruition, it's important to consider the implications this could have for businesses and recruiters who rely on TikTok as a platform to market their brand, recruit new talent, and connect with their audience.
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As the job market remains highly competitive, we have seen a surge in "rage applying." This is when candidates apply to multiple jobs, often without considering whether they are truly interested in the role. Rage applying goes hand-in-hand with quiet quitting. Often, employees want to entertain the thoughts and feelings of leaving their job, but they aren't necessarily serious about leaving yet. Meanwhile, other employees engaging in this trend are actually trying to find a better role. As a recruiter, it can be hard to identify who are the real applicants in a sea full of quiet quitters, but understanding rage applying and identifying red flags will certainly help.
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