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The Machine Learning Engineer role requires experience in Azure OpenAI, Large Language Models (LLMs), Python, and proficiency in developing applications using Streamlit, LangChain, Databricks, and Python frameworks like Flask and FastAPI. The ideal candidate will be adept at building scalable machine learning models and deploying them to production environments, and also being part of customer success teams.
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As the Manager, Enterprise Data Steward, you will join the recently established Data Governance Office within the Data & Analytics organization, partnering with business, technical, and data stakeholders to establish the organization, processes, and tools for a complete view of mission-critical datasets that leverage the full power of data to support an enterprise vision in a coordinated way.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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Understanding of Master data management, data visualization and story building, data science and machine learning is highly preferred. WHAT YOU WILL CONTRIBUTEThe Data and Analytics Director is accountable for the strategic governance and management of the North America Data and Analytics team.
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Proficiency with JVM language (Java/Kotlin) and experience in PythonExperience in NLP, ML-Ops and data pipelinesExperience with ML frameworks/libraries such as TensorFlow, PyTorch, scikit-learnStrong understanding of ML Algorithms, Statistical techniques, and data analysis methodologiesExperience with Data processing, feature engineering and model evaluation techniques.
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We are looking for an Avionics Engineer, with a focus on instrumentation, to enable sensor data collection supporting flight critical and mission critical requirements. The company aims to develop hypersonic aircraft quickly and cost-effectively by integrating hardware-rich, iterative development with modern computing and autonomy.
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Our team specializes in a range of data analytics and science services, including data visualization, predictive analytics, machine learning, artificial intelligence, and robotic process automation.
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Experience in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, GCP) and modern data warehouse tools (Snowflake, Databricks, Synapse, Redshift.
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Exposure to big data platforms - Snowflake, Redshift, Azure, Matillion, Hadoop. + Exposure to AI, Deep Learning, Neural Networks, NLP. + Collaborate with cross-functional teams, including Sales, Marketing, Finance, and IT, to develop and implement data-driven strategies that drive sales enablement and productivity.
$100,000 - $141,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with Oracle and non-Oracle technical integration tools and platforms like Oracle SOA and OIC, modern REST APIs, file transfer protocols and techniques and real-time data streaming.
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Implement appropriate data governance controls, policies and procedures to ensure data integrity and data lineage. Modern analytical techniques such as customer segmentation, identity resolution and identification, neural networks, and large language and machine learning models will be leveraged alongside defined operational summary statistics analysis and reporting.
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The Sr. Data Governance Specialist (DGS) manages Americold's Master Data environment including Chart of Accounts, Customer, Vendor, Item and Employee domains. 5-8 years progressive experience as Data Governance Specialist.
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We are seeking a highly experienced and motivated Senior Manager to join our team as a Workiva ESG (Environmental, Social, and Governance) Solution Consultant. Collaborate with clients to gather and analyze ESG data and ensure compliance with relevant standards and regulations.
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Knowledge of modern cloud-native application design principles, DevSecOps, Infrastructure as Code (IaC), CI\CD Pipelines, Microservices, Containers, etc. Serving as a technical thought leader and SME for our ecosystem of partners, customers, and service providers in the realm of Modern Apps & Platform Engineering.
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Working knowledge of current CDC infrastructure, enterprise platforms, data strategy, modernization efforts, and data & IT governance. Actively engage in internal CDC networking opportunities such as communities of practice and working groups in order to stay current on new policies, procedures, initiatives, and enterprise requirements for data and technology projects.
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modern data governance learning jobs Company: Wex in Atlanta, GA
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