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Deep understanding of cloud platforms (AWS, Google Cloud, Azure) and big data technologies (Apache Spark, Kafka). c#, matlab, php, python, software development engineer, software engineer, software programmer, sw.
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Experience in Excel, Stata, Python, R, SQL, SAS, ArcGIS/ArcPy, or Cloud computing (Databricks/Spark, Google Cloud, Azure, AWS); Program, build models and/or perform regression analyses in statistical analysis programs (such as Stata, SAS, Python, R, Matlab or Mathematica.
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Experience in programming languages used for data manipulation and computational statistics (Python, R, MATLAB, C. Google Cloud accelerates every organization's ability to digitally transform its business and industry.
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Expertise in programming languages such as Python, JavaScript, and familiarity with frameworks like React or Angular. We are at the forefront of artificial intelligence research and development, akin to the most renowned AI labs in the world.
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A minimum of a bachelor's degree in Computer Science, Engineering, or a related field; a masters degree or PhD is preferred. Implement advanced machine learning algorithms into practical, scalable applications that are integrated into broader systems.
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Our Competition practice economists provide analysis and testimony in matters involving mergers and acquisitions, antitrust litigation, and global competition policy. Antitrust and Competition Economics (Boston, Chicago, New York, Oakland, Washington DC.
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Lead the development of both client-side and server-side architecture, ensuring optimal performance and user experience. Proven experience in integrating machine learning models into scalable production environments.
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As a Customer Engineer, you will contribute experience and thought leadership to support Google Cloud Sales teams and drive the roadmap, mission, and strategy around Google Cloud AI/ML solutions that aid in a customer's migration and transformation.
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Stay ahead of the curve in the latest developments in AI, machine learning, and software development practices. As a Senior Full-Stack Engineer, you'll be integral to our team, responsible for developing the infrastructure that supports our groundbreaking AI initiatives.
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This includes installing, staging, testing, configuring, enhancing and supporting the Linux, Unix and Windows based computational applications and productivity tools on PSTAT departmental servers: MATLAB, SAS, Mathematica, R, Python, C.
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Hosted Services: GCP (Google Cloud Platform) developer, java, matlab, php, python, sde, software engineer. Languages: Golang, Python, Django, Kafka, Vue. Languages: Golang, Python, Django, Kafka, Vue.
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Leading-Edge Technology: Access to state-of-the-art resources and freedom to experiment with new tools and technologies. At least 3-4 years of experience in a full-stack development role, ideally within an AI-focused organization or a tech-forward research entity.
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Document all phases of research and development for future reference and scalability. Conduct rigorous testing and quality assurance to ensure the reliability and durability of AI-driven applications under diverse conditions.
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Architect, build, and maintain scalable multi-tiered systems to handle complex data workflows and integration pipelines. Exceptional Benefits: Competitive salary, outstanding health benefits, generous leave policies, and substantial equity options.
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Professional Growth: A collaborative environment that fosters innovation, creativity, and growth through continuous learning and mentorship. This role combines creative problem-solving with high-level engineering to enhance our ability to deploy AI solutions effectively.
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