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Strong proficiency in Python programming and deep learning frameworks (TensorFlow, PyTorch). Familiarity with deep learning frameworks like TensorFlow or PyTorch. Design, develop, and implement generative AI solutions using LangChain, Databricks, Azure ML, Azure OpenAI or similar platforms, frameworks.
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Knowledge of and experience with signal processing, time-series analysis, biosensor systems, and analyzing biomedical dataAcademic research experience in DL and ML with published articles or minimum of 2 years of industry experience with focus on DL/ML algorithmsProficient in Python, and familiar with ML/DL libraries like scikit-learn, Tensorflow, PyTorch, Keras, etc.
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Bachelor s degree (or foreign education equivalent) in Applied Mathematics, Computer Science, Engineering, Information Technology, Information Systems, Information Management, Mathematics, or a closely related field and five (5) years of experience as a Director, Data Science (or closely related occupation) launching, operating, leading and implementing document processing, computer vision, and Deep Learning (DL) practices using TensorFlow, Keras, MXNET, or H2O.
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Data science, machine learning, optimization models, PhD 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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Experience with programming languages (e.g. R, Python, MATLAB.) and NLP model development. Prior experience with implementing & training Deep Learning models (Pytorch, TensorFlow) Familiarity with ETL data engineering techniques using PySpark within Databricks/Snowflake.
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Preferred skills: NLP, Text mining, Tableau, PowerBI, SAS, Tensorflow. Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools. entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers.
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Strong fluency in Python and SQL, experience with Tensorflow, PyTorch, Airflow and data warehouse. Strong experience with Python/R, forecasting methodologies, machine learning and statistics.
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Experience with common data science tools such as Python, R, PyTorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modeling platforms such as SageMaker, Databricks, and Dataiku.
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Experience with SQL and cloud technologies like Snowflake, Google BigQuery, Databricks, presto etc., 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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Deep knowledge of Data Science and related technologies (Python, R, scikit-learn, Tensorflow, PyTorch, etc.) Experience with cloud data warehouses (Snowflake, AWS Redshift, Google BigQuery, Azure Data Warehouse, Databricks Lakehouse, etc.
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Extensive experience with Python Machine Learning toolsets (Tensorflow, PyTorch, Scikit-learn, Numpy, Pandas) ML Tools: Tensorflow, PyTorch, Keras, FAISS. Languages: Python, Spark.
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Hands-on experience with core Python data science tools (Numpy, Pandas, Matplotlib, SciKit-Learn, etc.) Hands-on experience with deep learning libraries (TensorFlow, PyTorch, etc.) Strong understanding of SQL, Python, Tableau.
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Expertise with programming systems such as Python, C+, CUDA, and deep learning frameworks such as TensorFlow and PyTorch. Expertise with programming systems such as Python, C+, CUDA, and deep learning frameworks such as TensorFlow and PyTorch.
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Proven experience in software development using Python, with expertise in one or more machine learning frameworks (e.g. TensorFlow, PyTorch). As a Product Developer, you will play a crucial role in designing, developing, and implementing innovative products and solutions that leverage Python programming, machine learning techniques, and NVIDIA products.
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Experience with data, machine learning, and numerical programming frameworks (e.g., TensorFlow, Python, MATLAB). 10 years of experience as a pre-sales engineer at an enterprise technology company or a similar customer-facing role.
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