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Deep knowledge of machine learning, both theory and application. Proven experience in planning and driving productionalized machine learning models. 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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Experience with natural language processing (NLP), computer vision, or other specialized areas of machine learning. Certifications in relevant areas such as data science, machine learning, or project management (e.g., Google Cloud.
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Demonstrated expertise in demand planning, supply planning, capacity planning, and S&OP/Integrated Business Planning processes. Experience in demand planning, supply planning or inventory management within a consulting and/or equivalent environment.
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Demonstrated interest in AI technologies and willingness to learn how AI can enhance HRIS platforms like Workday, including basic understanding of machine learning concepts, natural language processing, and predictive analytics.
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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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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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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.
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Expertise in machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and programming languages (e.g., Python, Java). Lead the design and development of advanced machine learning models to solve business challenges, leveraging techniques such as deep learning, reinforcement learning, natural language processing, and computer vision.
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The Opportunity Abt seeks an Associate in our Housing and Asset Team to bring subject matter expertise to Department of Housing and Urban Development (HUD) funded technical assistance (TA) projects related to housing and community development planning and programs.
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The incumbent will play a pivotal role in guiding our development team to deliver high-quality software solution and will utilize their deep understanding of SailPoint Identity IQ, IGA best practices to delivery on complex IGA projects.
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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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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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You have these:Bachelor’s degree in marketing, Hospitality, Event & Meeting Management, or experience in a related field such as hotel convention services or destination management 5-7+ years of planning events, meetings, and incentivesProven capacity in writing clear and inspiring Creative Briefs.
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Reporting to the Executive Director of Marketing, the Director, Ultrasound Cardiovascular & Emerging Markets leads the planning, development and execution of marketing and communications objectives, strategies, and programs in support of CV business sales and marketing goals.
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machine learning deep capacity planning jobs in Atlanta, AZ, Canada
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