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Catchlight is seeking a dynamic Director of Engineering to lead our team in developing products using machine learning, large language models (LLMs), modern web applications, APIs, microservices, and cloud-native architecture.
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Preferred Qualifications:If you have the following characteristics, it would be a plus:Developing and deploying applications in a cloud environment like Google Cloud (preferred), AWS, AzureExperience in an open-source web framework preferably implemented in JS, TypeScript, Python, Java, Scala, or similar.
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New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Software Engineer. Sales Territory: $170,700 - $194,800 for Lead Software Engineer. Lead a portfolio of diverse technology projects and a team of developers with deep experience in machine learning, distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company.
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As a Senior Cloud Engineer, you will be responsible for spearheading the cloud workload expansion to Azure, deploying and maintaining our vast infrastructure using IaC tools, developing automation and software solutions for fellow teams at State Street , integrating new tools and technologies to boost efficiency and meet new challenges, and working with other engineers, architects, and managers to continue innovating in all the cloud efforts of the team.
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As a Software Development Manager for the AEC Solutions group, you will lead your team to build data pipelines to power our work in artificial intelligence, deep learning, generative AI, machine learning, reinforcement learning, information retrieval, and natural language processing.
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Proven expertise in Azure/AWS cloud services and cloud-native architecture, with a strong ability to guide and mentor teams in leveraging these technologies. » Product: Named to the GovTech 100 (seven consecutive years), we are the leader in cloud software for our nation's cities, counties, and state agencies.
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DE performing technical analysis, implementation approach planning, and validation for MDM solutions, using MDM Reltio; analyzing use cases, requirement specifications, and architecting modern data integration frameworks for highly scalable distributed systems using open source and emerging data architecture designs patterns using SnapLogic and Kubernetes; and building scalable and performant data solutions (OLTP, MDM, or data warehouse) on-premises, in public cloud (AWS), and in hybrid Cloud.
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As the Sr. Software Engineer, you will be a part of an interdisciplinary team that creates stellar data- driven cloud-based solutions. Experience with deploying and configuring DataBricks in AWS and Azure environments is a plus.
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Build AI Solutions: Lead a team of data scientists working with machine learning engineers to build AI solutions leveraging traditional machine learning models as well as modern Generative AI and LLMs. These solutions will be both internal employee-facing and external customer-facing.
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Proven industry experience as an Embedded Software Engineer, with a focus on embedded systems, low-level programming, and hardware-software integration. As a Senior Embedded Software Engineer, you will be responsible for designing, developing, and maintaining software for embedded systems and Android applications.
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Experience leveraging complex data to drive business decisions, hands-on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Python, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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SaaS Knowledge: Extensive experience in SaaS application development and cloud technologies, with a deep understanding of modern machine learning technologies and operational infrastructure.
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Demonstrated experience in leading the following functions: AI research, machine learning, software engineering, data engineering, IT, and lab automation. Demonstrated experience in collaborating with cross-functional teams and teams where you do not have direct authority (AI research, machine learning, biology, medicinal chemistry, pharmacology, pre-clinical sciences, and clinical development.
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5 years of experience as Chief Data Officer or Chief Digital Officer in an AI-driven techbio company, leading computational sciences (computational theoretical chemistry, computational medicinal chemistry, computational biology, bioinformatics, and digital biology) and supporting digital infrastructure systems (biological/lab automation, software automation, workforce automation, IT, informatics, security.
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FL97 is seeking experienced, creative, and talented Machine Learning Researchers (LLMs) across Scientist, Senior Scientist, and Principal Scientist levels to join our team. The ideal candidate has a machine learning background, with previous experience building large-scale generative models, complex pre-processing pipelines, and comprehensive benchmarks to support scientific tasks.
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machine learning open source software engineer aws cloud jobs Title: lead software engineer Company: Caterpillar in Boston, MA
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