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If you are looking for a mentoring, collegial environment with a culture of performance & accountability with a technical leadership team, than this role is perfect for you to develop your skills in data engineering, machine learning operations, and leadership.
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Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
$283,800 a yearRemoteExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Lead Machine Learning Engineer San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
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Understand the data tables, data architecture and work closely with data engineering team and business owners to determine the best way to extract and present data (BI reporting, machine learning with front-end user interface, that supports business insights and decision making.
$105,900 - $137,580Full-timeExpandUpdated 29 days ago - UpvoteDownvoteShare Job
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As world leaders in digital technologies including IoT, Artificial Intelligence, Machine Learning, Robotic Process Automation, Chatbots, Block Chain and Cyber Security, Sonata’s people and systems are nurtured to deliver on our commitment to excellence in business technology solutions.
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Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.
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2+ years in cloud data engineering experience in Azure Experience with Azure Data Factory, Azure Databricks and Azure Machine learning tools is a plus. You'll be an empowered member of a team of data engineers who build data pipelines into various source systems, rest data on the PepsiCo Data Lake, and enable exploration and access for analytics, visualization, machine learning, and product development efforts across the company.
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As Data Scientist Lead - Risk Data and Analytics, you will be responsible for developing AI models using machine learning, deep learning, and natural language processing, particularly transformer models and Generative AI. Your expertise will be instrumental in developing and implementing predictive modeling solutions for the risk and compliance organization, enabling them to proactively identify and mitigate risks.
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Introduce and enforce best engineering practices, uphold engineering quality standards, and streamline machine learning development and deployment processes. You will work closely with and be supported by a talented engineering team and top-notch researchers to work on exciting machine learning projects and state-of-the-art technologies.
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Engineering in Fintech working in Investment Banking or Capital Markets. Formal training or certification on software engineering concepts and 5+ years of applied experience. Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle.
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Deliver high-quality results under tight deadlineQualifications Degree in computer science or a numerate subject (e.g. engineering, sciences, or mathematics) - Bachelor's degree with 4 years of experience, or Master's degree with 1 years of experience Background with Machine Learning Frameworks and Big Data technologies such as Hadoop.
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Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies.
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Powered by Artificial Intelligence and Machine Learning algorithms, we help our customers improve operational efficiency, productivity, speed, and accuracy. Requires Master’s degree or foreign equivalent in Applied Computer Science, Computer Engineering, Computer Information Systems, Information Technology or related field.
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San Francisco, California (Hybrid On-Site): $174,900 - $199,700 for Senior Machine Learning Engineer. New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning Engineer.
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Lead the design, development, and delivery of AI and Machine Learning solutions focused on NLP, ML and Robotic Process Automation, ensuring the adoption of cutting-edge techniques and technologies, using pertinent AWS, Google and other cloud technologies.
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engineering machine learning jobs in Plano, Wailuku, Hawaii
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