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Demonstrated expertise in machine learning, deep learning, and NLP, with a strong portfolio in large language models like GPT-3, BERT, and RAG.Advanced proficiency in Python, with hands-on experience in ML libraries and frameworks such as TensorFlow and PyTorch.
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Hands-on experience with one or more of Python, R, MATLAB, and SQL. Conducts on-going communication with model owners and model risk management team during the course of the review.
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The ideal Quantitative Developer will have proven experience in financial data modeling, exposure to macro products and strategies, and strong hands-on experience within in Python programming and analytical skills.
$400,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Deep hands-on experience with core technologies such as Airflow, dbt, git, docker. Tableau, Streamlit, AWS, Snowflake, and Python. Combine both internal and external data to conduct analysis to provide meaningful insights on risk management strategies and the macroeconomic environment.
$216,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You will utilize your deep expertise in Python, SQL, ELT processes, AWS, Redshift, and Snowflake to create and optimize data solutions that adhere to best practices in software engineering.
$220,000 a yearFull-timeExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
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Experience leveraging complex data to drive business decisions, hands-on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Python, Databricks, and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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Desired: Hands-on experience with tools like Jenkins, SALT, Kubernetes, Docker, etc. Key Skills: Cloud, IAM, Systems Management Required: 3+ years of hands-on experience as an individual engineering contributor in Cloud projects.
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Deep understanding and hands-on experience with Kubernetes at scale; Experience designing and operating control planes for large-scale Kubernetes; Deep understanding and hands-on experience with Kubernetes at scale.
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Gain insights into diverse industries and work on challenging problems spanning Deep Learning, Computer Vision, Natural Language Processing, Time Series Analysis, and Recommender Systems.
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Profound expertise in machine learning, deep learning, and natural language processing, coupled with hands-on experience in developing and deploying state-of-the-art models at scale.
$300,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Deep understanding of market risk measures, concepts, and regulatory rules: VaR, greeks, and Model Validation Testing. Development Documents on quantitative models for internal/external communications and/or regulatory compliance.
$250,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Salesforce Smart: Deep, technical knowledge of the Salesforce platform (Salesforce Admin and Advanced Admin level certifications, hands-on experience with Salesforce Clouds). Deep understanding of Martech Stack with hands on experience with Salesforce Marketing Cloud or similar products.
$242,830 a yearFull-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Hands on and deep experience working with Google Data Products (e.g. BigQuery, Dataflow, Cloud Composer, GCS etc. Hands-on experience in Python is mandatory. Hands-on Experience in SQL is mandatory.
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Hands-on experience with one or more deep learning frameworks like PyTorch, TensorFlow, Hugging face, LangChain, LlamaIndex, etc. The principal Machine Learning Engineer at WGU is both a visionary leader and a hands-on builder.
$305,300 a yearFull-timeExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
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For hourly positions (non-exempt), the annual range is based on a 40-hour work week. The exact compensation may vary based on skills, experience, training, licensure and certifications and location.
$250,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago
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