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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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Design, Develop and implement data science projects, including machine learning models, deep learning models, NLP solutions, statistical analysis, and data visualization. Strong knowledge of machine learning, deep learning, NLP, statistical analysis, and data visualization tools and technologies.
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This is a hands-on Machine Learning Engineer Manager so you should be someone that wants to get their hands dirty but equally someone with proven people management experience. We're searching for a hands-on Machine Learning Engineer Manager – a senior engineer with people management experience, ideally comfortable leading a growing team of 5.
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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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Skilled in natural language processing (NLP), MLOps, and data pipeline development, with hands-on experience using ML frameworks such as TensorFlow, PyTorch, and scikit-learn. Join our client as a Lead Machine Learning Engineer where you'll be at the forefront of pioneering advanced analytics for actionable insights within our FinTech and RegTech Product portfolio.
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Apply machine learning, econometrics/statistics, predictive modeling, return-on-investment analysis, simulation, and data visualization methods to support the development of health policy.
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Deep Learning, i.e. Natural Language Processing, Dialog Systems, Natural Language Generation, Multimodal Representation Learning. Knowledge of NLP techniques such as natural language understanding, dialog management and natural language generation.
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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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This team will leverage cutting edge Artificial Intelligence (AI) and Machine Learning (ML) algorithms to develop solutions for our automated document processing and customer service chat bots.
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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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Cherry Street Energy builds and owns next-generation energy infrastructure — powering cities, businesses and institutions with reliable, renewable energy. We have signed 20-year Solar Energy Procurement Agreements (SEPAs) with clients such as the City of Atlanta, Emory University, Fulton County, Porsche Cars, the City of Savannah, Gulfstream Aviation, and Creature Comforts Brewing.
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This candidate should be proficient in using BI tools such as Tableau, in addition to experience with one or more modern technologies such as relational databases, AWS, Snowflake, Python, Databricks, Git, and Machine Learning.
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The BCG Global Learning & Development Design Center has established an Innovation Center of Excellence (CoE) to enhance and modernize the learning experience for BCG employees globally and future-proof our learning function.
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Postal Service operations are wide ranging from Mail Processing, handling and sorting mail to sales and marketing teams that work with commercial customers. Mail Processor – Performs a variety of functions to accomplish the processing of mail.
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Its products and service offerings include diesel engines, transmissions, bumper-to-bumper truck repair, transport refrigeration, power generation systems, and supply chain logistics services. Its products and service offerings include diesel engines, transmissions, bumper-to-bumper truck repair, transport refrigeration, power generation systems, and supply chain logistics services.
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machine learning natural processing next generation jobs Company: Quantum Technologies Usa in Atlanta, GA
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