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A graduate degree (Masters/PhD) in computer science, computer engineering, electrical engineering, mechanical engineering, aerospace engineering, or similar technical discipline with an emphasis on artificial intelligence and machine learning.
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Facilitate student learning, provide effective instruction, and perform evaluations of student learning for all assigned clinicals, labs, or simulated clinical experiences (SCE), using each course's standard course outline as a guide.
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As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. Knowledge of modern front-end frameworks such as React, Vue.js or Angular is a plus.
$157,500 - $214,500 a yearFull-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Visits classes of students in NYC schools across the five boroughs to deliver MoMA learning programs. Works directly with MoMA staff to deliver pre-planned learning programs for a range of audiences.
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This role is a unique opportunity for an experienced ML scientist and hands-on NLP/Gen AI/ LLM senior scientist to grow into the next step in their career journey and apply her or his domain expertise in NLP, deep learning, GenAI, and LLMs to drive business value for multiple stakeholders while mentoring and growing a ML Data Science team.
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A little about ADP: We are a global leader in HR technology, offering the latest AI and machine learning-enhanced payroll, tax, HR, benefits, and much more. ADP Lifion is hiring a Lead Machine Learning Engineer.
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Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities. Access to Udemy - An online learning and teaching marketplace with over 185,000 courses.
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Big Data Development experience using Spark, Databricks, Impala, and familiarity with Kafka (Preferred); Familiarity with the Linux operating system (Preferred); Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics.
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Experience with various machine learning algorithms is a plus. Lead risk model development for securitized asset classes including but not limited to CMBS, ABS, Non-Agency mortgages, CLOs, etc.
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Learning & Development Opportunities (Unlimited Access to E-learnings, Lunch & Learn Sessions, Mentorship Programs, & More!) These include KIEHL'S, URBAN DECAY, IT COSMETICS, YOUTH TO THE PEOPLE, RALPH LAUREN, as well as ESSIE, MAYBELLINE, CERAVE, SKINCEUTICALS, NYX PROFESSIONAL MAKE-UP, REDKEN, PULP RIOT, SKINBETTER SCIENCE, and PUREOLOGY. Each brand holds a unique identity, adding to the diverse array of beauty experiences we bring to our valued consumers.
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We offer an array of services including Core Business Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud Adoption, Mobility, Digital Adoption, Agile & DevOps, Quality Assurance & Test Automation.
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Reporting to the Impact & Insights Product Owner, Medscape (a division of WebMD) is looking to hire a Digital Learning Sciences Specialist to provide subject matter expertise in online adult learning within the US and Global markets.
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We invest in a robust Total Rewards package that includes everything from generous PTO, a flexible work environment, expanded parental leave, extensive learning & development, and even paid time off for employees to volunteer.
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We value eager, self-directed, curious, problem-solving engineers who are open to working and learning from others. Senior SRE's focus on managing infrastructure via IaC (infrastructure-as-code), building new cloud native systems, code optimizations, developer experience, telemetry, and automation.
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Our tech stack spans several languages and frameworks, including but not limited to: Python, Go, Rust, React, running in Docker/Kubernetes on GCP. Relevant areas of expertise might include workflow engineering, tool integration, high performance cloud computing, systems engineering, and machine learning, but specific knowledge of any of these areas is less critical than versatility and a willingness to learn and work anywhere in the tech stack.
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learning job Title: architect Company: Iqvia in New York, NY
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