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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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Thorough understanding of CIP/KYC/BSA/AML compliance obligations and experience managing a BSA program (ideally as BSA manager). Serve as the Company’s Bank Secrecy Act (BSA) Officer, who is responsible for coordinating the development, implementation, and oversight of our BSA Compliance Program (BSA, AML, OFAC, Patriot Act.
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Role: AML/KYC Analyst. Gathering/collection and review of AML / KYC documents. Strong knowledge on AML & Transaction Reviews; KYC checks. Role: AML/KYC Analyst.
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TheMachine Learning Engineerrole 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.
$150ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Typical systems include Anti-Money Laundering (AML) transaction monitoring, Customer Due Diligence (CDD), Currency Transaction Reports (CTR), fraud detection and watch list screening systems. Experience with AML based systems such as Actimize, Mantas, Norkom, FCRM or SAS.
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LLM-Optimized MLOps Infrastructure: Design and implement MLOps infrastructure on AWS tailored for LLMs, leveraging services like SageMaker, EC2 (with GPU instances), S3, ECS/EKS, Lambda, and more.
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They will report to the Senior Learning & Development Manager and ensure that Altium is developing the skills and capabilities of our employees to support a learning culture and high-performance organization.
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Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture design.
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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. Accredited Artificial Intelligence (AI) / Machine Learning (ML) certifications (e.g., AWS, Google Data Analytics, Microsoft Azure.
$119,025 - $198,375 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Job SummaryThe Tax Senior Manager, SALT - Unclaimed Property is responsible for advising clients of the tax implications and other accounting related matters that affect their business objectives, with an emphasis on unclaimed property compliance and consulting.
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The Training Manager will also provide professional development coaching and support to facility learning and development providers. The Training Manager develops training programs or learning plans to achieve business goals.
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Metas Solutions has an "immediate" opening for an experienced Data Scientist/Machine Learning Engineer to work Remotely. The Data Scientist/Machine Learning Engineer will have strong analytical skills and experience in using Posit and RStudio to join our team.
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We are hiring an Senior Cost Manager to join our Atlanta, GA office. 10+ years of experience as Project Manager, Cost Manager, Project Controls Manager or Cost Estimator.
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Develop internal APM product utilizing the latest anomaly detection machine-learning algorithms for predicting machine failures. Work with plant engineers located globally to solve business challenges related to forecasting the breakdown of the machines using sensor data analysis techniques such as Vibration Analysis, Motor Circuit Analysis, Oil Analysis, and Infrared Thermography.
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We have revolutionized the emergency loan market by using sophisticated machine learning (artificial intelligence) and big data to detect fraud and predict payback. Work closely with a team of data scientists to leverage machine learning models to drive business performance.
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