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PhD or MSc or experience using AI/ML/data science with an understanding of which models are suitable for a given use case e.g. experience in designing and implementing machine learning algorithms (Supervised, Unsupervised, and Reinforcement Algorithms); advanced experience in LLM, Natural Language Processing (NLP), Deep Learning, Data Analytics, Data Modelling, and enterprise-level use cases using Generative AI such as ChatGPT.
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The principal Machine Learning Engineer at WGU is both a visionary leader and a hands-on builder. M.S. degree or higher in Computer Science, Software Engineering, Data Science, Machine Learning/Deep Learning, Math, Physics or any related field.
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8 years' experience in application development including machine learning engineer, data scientist, data analyst or analytics engineer. Turn unstructured data into useful information through natural language processing methods and other related approaches.
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3+ years of experience in batch and streaming ETL using Spark, Python, Scala, Snowflake, or Databricks for Data Engineering or Machine Learning workloads. Experience using machine learning in data pipelines to discover, classify, and clean data.
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Collaborate with the Data Engineer team to develop and implement the data processing pipeline to ensure high-quality input for model training and inference. Strong background in machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, transformer, reinforcement learning, etc.
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Softrams is seeking a Machine Learning Engineer for a position supporting federal clients in the Baltimore-Washington metro area. Provide technical support to other engineers and data scientists in AI and Machine learning methodologies.
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Work with business owners, product managers and other stakeholders to determine and refine objectives for AI, Machine Learning (ML) and analytic processing solutions to address business problems.
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You will work with a team of machine learning researchers to build AI software systems, learn about deep learning algorithms, and use your technical skills to advance autonomous driving.
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Machine learning tasks such as natural language processing, image recognition, semantic segmentation, reinforcement learning, approaches such as Bayesian, deep convolutional and graph neural network methods, and tools such as PyTorch, Ray, TensorFlow/board, and MLflow.
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Principal Functional Skills / Competencies associated with this Title:Knowledge of Modern Data Warehouse is preferred (Azure Synapse Analytics, Data Bricks, ADF, Power BI)Azure Machine learning & Cognitive Services is Preferred.
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Your contributions will be instrumental in shaping cutting-edge architectures, frameworks, and methodologies, pushing the boundaries of natural language processing (NLP) and machine learning.
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Using natural language processing (NLP), machine learning (ML), Generative AI, and other relevant AI technologies and platforms; Analyzing Conversational (Chats, Emails, Messages and Calls) data, and the use of this data to build Natural Language (NLP) modeling pipelines for intent classification, training & deploying conversational AI systems, IVR, virtual assistants, chatbots etc.
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Strong knowledge of data formats such as Parquet, Avro, ORC, XML, JSON, data processing/data transformation using ETL/ELT tools such as DBT (Data Build Tool) or Databricks, and AI/machine learning infrastructure needs.
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We are on the forefront of CBRN defense and we are looking for talented Data Scientists that have applied experience in the fields of artificial intelligence, machine learning and/or natural language processing to join our team.
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We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Building machine learning models and systems, interpret their output, and communicate their results to internal/client teams and how those outcomes realize business value.
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machine learning natural language processing engineer data jobs Company: Veradigm
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