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Hands-on experience with deep learning frameworks (e.g. PyTorch, TensorFlow) and GenAI models (e.g. GPT, StableDiffusion). Experience managing and optimizing Azure cloud data technologies (Synapse, Databricks, ADF, or Azure Data Lake.
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The ideal candidate should have a deep understanding of the NLP field, hands-on experience in design and development of NLP models, and experience in building LLM-based applications. Hands-on experience in the design and development of NLP models.
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Hands on experience working on Messaging platforms such as TIBCO, KAFKA, MQ etc. Experience developing application code and unit tests in Java, Spring (Boot, Data, Batch, Security.
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Hands-on experience with big data processing frameworks, such as Apache Spark. Hands-on experience with data modeling, ETL development, and data integration techniques.
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Deep knowledge and hands-on expertise in predictive modeling, statistical inference, machine learning, and other advanced analytical techniques. As a member of the Data Science & Analytics (DS&A) management team, the Director leads experienced analytic professionals in the design, development, and implementation of custom solutions and products for both external and internal customers across the mortgage and tenant-screening business domains.
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Hands-on experience with common security technologies (SIEM, IDS, Firewall, WAF, etc.) Knowledge of data science, data visualization, mathematics, and/or statistics.
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What You Will Be Doing Tech Breakdown 70% Data Engineering 20% Data Analytics 10% Machine Learning Daily Responsibilities 80% Hands On 0% Management Duties 20% Team Collaboration The Offer 10% Bonus Stock Options You will receive the following benefits: Medical Insurance Dental Benefits Vision Benefits Paid Time Off (PTO) Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
$145,000 - $175,000Full-timeRemoteExpandApply NowActive JobUpdated Today - 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, Pytong, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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The Senior Solutions Engineer is a hands-on, technical solution engineering position, focused on working closely with our sales teams during the technical sales process. Strong hands-on relational database skills, SaaS and cloud computing/web 2.0 technologies.
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You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. We are hiring a Data Science on the valuations tools and innovation team.
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Hands-on engineer who is curious about technology, should be able to quickly adopt to change and one who understands the technologies supporting areas such as Cloud Computing (AWS, Azure(preferred), etc.
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Offering a fully integrated platform of real estate services and innovative solutions to owners, investors, lenders and occupiers, Lincoln supports the entire real estate lifecycle across asset types, including office, life science, retail, industrial, data center, production studio, healthcare, government, universities, and mixed-used properties, throughout the United States, United Kingdom, and Europe.
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The senior product data analyst will have opportunities to gain hands on experience in financial data analysis, and how it works in fintech products and projects. Subject Matter Expertise: Serve as a Subject Matter Expert (SME) for both internal and external communications, offering expertise and guidance on data-related issues.
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Proficient in Python with hands-on experience using AI/ML libraries and frameworks like TensorFlow, PyTorch, and Keras. Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related discipline.
$150,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands on experience in machine learning, working with commercial and/or open-source statistics and data mining packages. You will work directly with product management and data engineering teams to understand requirements, develop data science methodologies, and implement new data products and custom solutions.
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hands on data science jobs in Chicago, WA, Ohio
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