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Knowledge of data preprocessing, feature engineering, and model evaluation techniques in machine learning projects. Proficiency in Google Cloud Platform (GCP) services relevant to machine learning and AI, such as AI Platform, BigQuery, Dataflow, and Tensorflow.
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Machine Learning Engineer – Work From HomeWe are seeking a talented and self-motivated Machine Learning Engineer to join the growing data science efforts. Keywords: Chicago IL Jobs, Machine Learning Engineer, Python, C.
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At least one of the following: GCP Professional Machine Learning Engineer, AWS Certified Machine Learning Engineer. The candidate should have subject matter expertise in designing and implementing machine learning pipelines including a deep understanding of core ML frameworks such as PyTorch, TensorFlow or Scikit-learn and 3rd party ML platforms from Palantir, Dataiku, DataRobot, Alteryx and other vendors.
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We are looking for 3 to 5 years of experienced Machine Learning Engineer with a strong background in data science, machine learning (ML), Natural Language Processing (NLP), and Large Language Models (LLM) technology.
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In addition, the candidate should have a strong understanding and experience with the integrated machine learning environments provided in Azure, AWS and GCP, along with emerging experience with Generative AI ML technical architectures that include pre-trained LLM and diffusion models such as LLaMA, ChatGPT, Gemini, Stability AI and Claude as well as Vector Databases and orchestration tools such as LangChain.
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Certified Machine Learning - Specialty, Microsoft Certified: Azure AI Fundamentals. They must be comfortable engaging with non-technical ends users to understand objectives and leverage (the candidates) understanding of available machine learning designs to blueprint solutions and oversee technical implementations, done by others.
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4 years of direct experience with production deployments of AI solutions, including machine learning solution design, pipeline development, support, and management. The Senior Solutions Architect - AI and ML Operations Engineering will be a leader in the AI Transformation offering of FTI's Digital Transformation practice.
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Bachelor's degree in engineering, computer science, information systems or related field. They must have knowledge and experience with "black box" AI capabilities for traditional tasks such as image and video recognition, speech to text, language translation and chatbots, along with a deep understanding of the intellectual property and data privacy issues inherent in using pre-trained generative AI platforms.
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Our Digital Transformation Practice helps corporates, private equity firms and other constituencies build long term competitive advantage, accelerate revenue growth and drive investment valuations while optimizing cost.
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Master’s Degree in related field (e.g., Data Science, Predictive Analytics, Machine Learning, Statistics, Applied Mathematics, Computer Science) Strong understanding of machine learning algorithms, techniques, and frameworks, including deep learning, neural networks, and ensemble methods.
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Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Family care benefits, including back-up child/elder care. Make an impact in our communities through company sponsored pro bono work. We bring together lean, fast-moving teams of expert technologists, digital specialists and data scientists to advise our clients on their digital transformation agendas and transaction needs.
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Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics. Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics.
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Job Title: Data Scientist/Machine Learning Engineer (Associate) B.S. and/or M.S. in Computer Science, Applied Mathematics, Statistics, or related field, especially with coursework in machine learning.
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Strong experience with Python/R, forecasting methodologies, machine learning and statistics, Xometry is an on-demand manufacturing marketplace that leverages machine learning (ML) techniques to predict the manufacturing cost of machined parts and produce automated buy it now prices on Xometry.com. Customers love our instant quoting engine, and that engine depends on Xometry’s ML team and technology.
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machine learning jobs Title: engineering manager product engineer
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