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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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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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SummaryAs a Lead Machine Learning Engineer, you will play a pivotal role in leading and driving the implementation of advanced analytics that delivers communications intelligence that will drive actionable insights and solutions as part of our FinTech and RegTech Product portfolio.
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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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Within the Signal &Power Integrity team under HSE group, as a Principal Signal Integrity Engineer at Micron, we are responsible for:Leading the design and analysis of high speed memory interfaces and power distribution networks (PDN.
$106,000 - $287,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Accredited Artificial Intelligence (AI) / Machine Learning (ML) certifications (e.g., AWS, Google Data Analytics, Microsoft Azure) Proficient with the core concepts of at least one programming language such as Python, R, and SQL and adept with machine learning frameworks such as TensorFlow and PySpark.
$125,000 - $255,000 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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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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Maintains appropriate records, ensures data integrity to permit meaningful analysis, tracks KPI's as identified, identifies / performs analysis for improvement, collaborates with SMEs to identify critical failure modes, develops PMs / PdMs to mitigate risks, and generates facility and district maintenance performance reports.
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Implement appropriate data governance controls, policies and procedures to ensure data integrity and data lineage. K2 Integrity is looking for a highly motivated and focused Data Scientist to design, develop, and implement our Systemic Risk Analytics Framework for K2 Integrity’s market leading Anti-Financial Crime and Compliance solutions.
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HVAC and Refrigeration Technician with Ice Machine Installation and Repair Experience. We are seeking a skilled HVAC and Refrigeration Technician with specialized expertise in ice machine installations and repairs.
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Responsibilities: · Responsible for the administration, configuration, and optimization of the Databricks platform to enable data analytics, machine learning, and data engineering activities within the organization.
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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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In supporting rule analysis, Teammate should be able to Independently perform sophisticated data analytics that fit to the fraud problem being observed (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data.
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The Generative AI Architect, you will apply expertise in data science, specifically in artificial intelligence, machine learning, and software architecture to address sophisticated business challenges.
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Ability to perform management and Design of Data resources and catalogs using a combination of Informatica Axon & Enterprise Data Catalog. Experienced in cloud architecture, design, and hands on knowledge of core CRM application, data integration & mastery services such as SalesForce, MuleSoft, Informatica.
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