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Proven prior experience as a Machine Learning Engineer, Data Engineer, Software Engineer, or similar role. Hands-on experience with multiple programming languages – Python, SQL, Scala, R, Golang, C#, JavaScript, C/C.
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The Lead Embedded Software/Firmware Engineer will be a key member of the Technology & Architecture Team for Connected Services, reporting to the Director, Technology & Architecture. Experience with C, C#, Linux, JAVA, Python, Agile, GIT, HDMI, and FPGA software and systems.
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Site Reliability Engineer (SRE) will focus on Scalability, High Availability, Performance, Stability and Reliability of Software Applications. KEY SKILLS - DevOps, Azure Cloud Experience, Scripting (Shell, Python), Containerized platforms (Kubernetes) , extensive CICD knowledge (Jenkins, Docker, Maven), GITHUB as SCM, MongoDB, Oracle, Javascript.
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We are seeking a Lead Software Engineer to spearhead our expansion into AI and ML technologies space, with a special focus on Generative AI. This pivotal role involves developing innovative Generative AI solutions that generate dynamic content, automate decision-making, anomaly detection, and provide predictive analytics,and transforming how businesses interact with data.
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San Francisco, California (Hybrid On-Site): $213,400 - $243,500 for Lead Software Engineer. New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Software Engineer. Lead Software Engineer, Back End.
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Rust, Golang, Python, Java, Flutter-Dart or others - or a particular love of the kernel or hardware or CPU instruction set, whether you see yourself as driving perceived user experience through performance or optimising the efficiency of data centers to reduce carbon footprint, this process is the best way to find a role at Canonical that speaks to your precision, rigour, insight and drive.
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Experience must include 2 years of experience with each of the following: (1) analyzing, designing, developing, deploying, and supporting software using Java, J2EE Servlets, JSP, and JDBC; (2) SSO, Federation, Sun IDM, LDAP, Active Directory, Active Directory Federation services, Azure, AWS, and SailPoint IIQ; (3) Python, JavaScript, and PowerShell; (4) Web Services, HTML, SQL and XML; (5) CA IDM suite; and (6) utilizing Selenium and Kevlar.
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Prior experience as a Machine Learning Engineer, Data Engineer, Software Engineer, or similar role. Experience writing code in Python (opensource contributions or Kaggle kernels.
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Technical Proficiency: Demonstrate proficiency in software development languages such as JavaScript (Node, React, NextJS), TypeScript, CSS, or Python, coupled with experience in modern frameworks and technologies.
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Software Engineer, Security - Reality Labs Responsibilities. Software Engineer, Security - Reality Labs. Java, Python or Rust. Work with cross-functional teams to design and implement systems that span across hardware, firmware and software.
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As a Capital One Software Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. Senior Full Stack Software Engineer, Card Tech.
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Job Summary:The Software Engineering Senior Associate, Valuation & Capital Market Analysis – Complex Financial Instruments will be a member of the Data Science team that builds Python based models and related infrastructure to speed up the development and deployment of machine language (ML), statistical and mathematical models at scale and bring game-changing impact to our client’s decisioning.
$90,000 - $115,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Golang, Rust and Python developers to work on security-critical, performance-critical and mission-critical code, focused on software delivery, containers, security, sandboxing, application orchestration and management.
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Leverage technology such as Python, Go, Bash, Django, AWS, Kubernetes, Terraform, MySQL, Apache Pulsar, Redis, and Clickhouse to advance Klaviyo’s platform. Site Reliability Engineering (SRE) is what you get when you treat system operations as a software engineering problem.
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Experience in Linux software packaging, install technologies and various scripting tools such as Bash, Python. Experience with GPU, Drivers, BIOS, networking, DevOps concepts, software and tools.
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