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Experience with some of the following technologies is a plus, but not required: Microsoft Azure, Linux systems administration, Vue.js, TypeScript, Elasticsearch, Docker, PostgreSQL, Jenkins, New Relic, Salesforce, D3.
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XML, JSON, YAML, PostgreSQL, MySQL, Kasandra, JDBC/JPA/Hibernate, RESTful web services, Linux/RHEL, GitLab, JIRA, Confluence, Angular, Spring, Spring Boot, Node.js, Java, JEE, Python, Gherkin, TypeScript, Swift, GraphQL, JavaScript, Docker, Kubernetes, Maven, Ansible, Wireshark, Splunk, GIT, and Postman.
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5+ years relevant professional experience in sales, sales enablement, technology sales, competitive intelligence, management, business, or technology consulting, software development, M&A, corporate strategy, finance, or marketing.
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3+ years sales or pre-sales experience with cloud platforms (Amazon Web Services, Google Cloud Platform, Microsoft Azure), or cloud-native SaaS solutions (Snowflake, Databricks, CrowdStrike, etc.
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Implement DevSecOps principles and related technologies using PO directed tools such as Git, PowerShell, Ansible, Ansible Tower, Windows and Linux server administration, Continuous Integration/Continuous Delivery (CI/CD) pipelines, Amazon Web Services (AWS) Elastic Computing Cloud (EC2), Microsoft Azure Cloud Computing Services, cloud storage, REST (Representational State Transfer) application programming interfaces (REST APIs) and the Atlassian suite of tools (Jira, Confluence, and Bitbucket.
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Full Stack Web Development. The Web Developer will assist modernization efforts by replacing existing Vue.js websites with Blazor WebAssembly or Server-Side Applications, where appropriate.
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Candidates will have the ability to teach in two or more of the following areas: Artificial Intelligence, Game Design, Web Design, Graphic Arts, and Digital Art and Animation. Candidates will have expertise in one or more areas: emerging technologies, graphic arts, digital fabrication, VR/AR, experiential design, interactivity, web design, coding, and internet art.
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We are seeking intern candidates to help us advance our research and development agenda on artificial intelligence and foundation models in areas including Natural Language Processing, CodeLLMs, Agents and Agentic Workflows, Generative AI Applications for Code, Time-Series, Business and IT Automation, and API Composition and Orchestration.
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We combine best of breed engineering practices, subject matter expertise, design services, computer science, and data analytics with innovative approaches in artificial intelligence and machine learning, AR/VR, R&D, and physics-based modeling and simulation providing tailored solutions addressing our customer’s unique threat requirements.
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Web & Application Development, Business Intelligence, Project Management, Staff Augmentation, Ecommerce, Artificial Intelligence, Blockchain Technology, Data Analytics, Business Process Improvement, DevOps, Quality Assurance, Automation, Consulting Services, SDLC, Digital Transformation, cloud consulting, azure, continuous integration, continuous delivery.
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Technologies/Tools we use: Python, SQL, Azure (Virtual Machines, Azure Web Apps, Cloud Storage, Azure ML), Anaconda packages, Git, GitHub, GitHub Actions, Terraform, Artifactory, Airflow, Docker, Kubernetes, Linux/Windows VMs.
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Having experience on Azure Databricks, pyspark, python, github, blob storage, azure key vault, docker containerization, bash script, linux commands, Delta live tables, prefect, schedular, Kafka, streamsets and data lake will be added advantage.
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It has the mission to explore, enable and exploit artificial intelligence, machine learning, natural language processing, image recognition and cognitive computing at scale for countless use cases across Alpha/CRD, Global Services, Global Advisors, Global Markets business lines, and corporate functions.
$230,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Skills : AWS, Docker, NodeJS, TypeScript, Redis, PostgreSQL, Kafka, Vue, Web Components. AWS, Docker, NodeJS, TypeScript, Redis, PostgreSQL, Kafka, Vue, Web Components. Nice to have - Experience with one or more: SOA, AWS, Kafka, Docker, Rails, Flutter.
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Ph. D. with 0-2+ years of relevant fields with a focus in Artificial Intelligence or Machine Learning development and applications to molecular design. Experience in machine learning or artificial intelligence work is critical, with cheminformatics, computational chemistry, and/or molecular modeling experience a plus.
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