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Hands on experience with the internals of deep learning frameworks (e.g. PyTorch, TensorFlow) and GenAI models (e.g. GPT, StableDiffusion) More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.
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Extensive experience with Python Machine Learning toolsets (Tensorflow, PyTorch, Scikit-learn, Numpy, Pandas) ML Tools: Tensorflow, PyTorch, Keras, FAISS. Backed by leading investors and used by the world’s most important organizations (Maersk, US Customs and Border Protection, Boston Scientific, and more), Altana’s mission is to power a new era of globalization organized around trusted supply chain networks.
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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)Ability to interact at all levels of the client organization, build consensus and foster changeAbility to work independently, manage small engagements or parts of larger engagementsExperience with pre-sales, proposals and RFP activitiesSuperior critical thinking, analytical and problem-solving skillsWillingness to mentor and counsel junior staff.
$125,000 - $255,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Strong experience using key Python packages for data wrangling, machine learning and deep learning such as pandas, sklearn, TensorFlow, torch, transformers, LangChain, etc. The C3 AI Platform supports the value chain in any industry with prebuilt, configurable, high-value AI applications for reliability, fraud detection, sensor network health, supply network optimization, energy management, anti-money laundering, and customer engagement.
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Experience across the AI/ML lifecycle from data collection and curation to production, deep learning, TensorFlow, Python, NLP, data engineering, MLOps, and/or, AI governance/ethics. Experience with one of the large cloud-computing infrastructure solutions similar to AWS, MS Azure, or Google Cloud Platform (GCP) environment, data platforms including Spark, Databricks, or similar.
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And one of the deep learning toolkits such as PyTorch, JAX, or Tensorflow. and one of the deep learning toolkits such as PyTorch, JAX, or Tensorflow. Experience with Core ML, Swift, and iOS/macOS machine learning development is a plus.
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Open source, Commercial, and Government software packages such as Kafka, Beam, NumPy, Kubeflow, Nvidia Triton, PyTorch, TensorFlow, Weaviate, Neo4j, Grafana, etc. Develop ML prototype solutions with TensorFlow, PyTorch etc.
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Prior experience with implementing & training Deep Learning models (Pytorch, TensorFlow) Familiarity with ETL data engineering techniques using PySpark within Databricks/Snowflake preferred. Required experience with programming languages (e.g. R, Python, MATLAB.) and experience in NLP model development is a plus.
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2+ years of hands-on experience in deep learning frameworks (e.g., PyTorch, Tensorflow, etc. Our team brings subject matter expertise from companies like Uber, Google, Flexport, Meta, Samsara, Intuit, Rakuten, and long-standing industry leaders like C.H. Robinson.
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IOS/Android mobile app development TensorFlow and OpenCV CUDA, GPU algorithm optimization What you’ll get An opportunity to work with the latest technologies across a variety of platforms to create groundbreaking solutions like a web-based interface for a bomb defusing robot and swarming space robots.
$120,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Experience with the following types of tools a plus: SAS, Apache Hadoop, Tableau, TensorFlow, BigML, Knime, RapidMiner, Apache Flink, DataRobot, Apache Spark, MongoDB, Trifacta, Minitab, Apache Kafka, QlikView, Julia, SPSS, Keras, Matplotlib, Pytorch, scikit-learn, Weka, Domino Data Science Platform, IBM Watson Studio, and Google Cloud AI Platform.
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Strong experience with NLP (Natural Language Processing), scripting and automation of data extraction, data mining, transformation, and modeling outputs using Python, TensorFlow, GCP Services etc.
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Industry experience using TensorFlow or Pytorch, and open-source software libraries to develop Representation Machine Learning Systems, e.g. Next-Best-Action, Recommendation systems; Deep Learning Neural Networks; Large Language Models; Image understanding; Document classification and keyword extraction.
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EDUCATION AND EXPERIENCE⢠Bachelor's degree in Computer Science, Engineering, Mathematics, or related field⢠5+ years of experience in deploying machine learning solutions using Azure⢠Proficient in Python, and familiar with common machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn.
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Strong coding skills in Python, and experience with machine-learning and deep learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch, etc.) Family care services such as adoption and surrogacy reimbursement, fertility/infertility benefits, support for traveling mothers, and child, elder and pet care resources.
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tensorflow job Title: associate educator
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