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Assistant Facility Manager (Hands-On / Available Immediately) In addition to rigorous, joyful and engaging academics, Public Prep emphasizes social-emotional learning as critical to supporting the whole child.
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Hands-on experience using modern big data pipelines (AWS, Google Cloud, Snowflake) AI/ML models, Natural language process (NLP) and data mining experience. Apply advanced machine learning, graph analytics, data mining, statistical methods, algorithms, and time series models to vast amounts of user data to derive insights based on the knowledge graph (ontology.
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You have hands-on experience with data analytics and data engineering. Kalepa is backed by IA Ventures, lead early-stage investors on TheTradeDesk (IPO, $38B valuation), Datadog (IPO, $32B), TransferWise (last valued at $5B), DataRobot ($2.7B), Flatiron Health (acquired for $2B), and several other unicorns and public companies.
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5+ years hands-on development in LLM, Diffusion, GNN models for drug discovery / RNA, DNA / synthetic biology. Please click on the ‘Easy Apply’ button or alternatively email me your resume at.
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Collaborate with the Helping Hands Social Services Program Officer and work closely with the Grants Manager to prepare grant agreements, maintain grant records, and set up payment and reporting schedules.
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We are looking for an experienced SAP SuccessFactors Consultant with expertise in configuration on Employee Central (EC), Performance Management, Talent Profiling, and Learning Management System (LMS.
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Hands-on experience with at least one main stream deep learning framework such as PyTorch, TensorFlow, and ONNX. Hands-on experience with OpenCV, PIL, and other image processing libraries.
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Hands-on experience with dbt for data modeling and transformations. The ideal candidate will have a strong background in AWS, Redshift, Snowflake, dbt, Python, building ETL pipelines, and Machine Learning.
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Minimum of [5] years of experience as an SAP SuccessFactors Consultant with a focus on Employee Central (EC), Performance Management, Talent Profiling, and Learning Management System (LMS.
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Hands-on experience working with Databricks environment for data processing and analysis. Hands on experience working on data science frameworks such as TensorFlow, PyTorch, and Spark ML.
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S&P is a leader in risk management solutions leveraging automation and AI/ML. This role is a unique opportunity for hands-on ML scientists and NLP/Gen AI/ LLM scientists to grow into the next step in their career journey and apply her or his technical expertise in NLP, deep learning, GenAI, and LLMs to drive business value for multiple stakeholders while conducting cutting-edge applied research around LLMs, Gen AI, and related areas.
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Hands-on experience with SAP SuccessFactors implementations, including data migration, integration, and system testing. Strong configuration experience in SAP SuccessFactors modules, including but not limited to Employee Central (EC), Performance Management, Talent Profiling, and Learning Management System (LMS.
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2-5+ years of hands-on Python, SQL, Typescript/Javascript and Linux development experience. Conduct research on cutting edge technologies in AI/BI/ML/NLP, alternative data, FinTech, high performance computing (e.g. GPU, quantum computing) to discover the potential opportunities to the business applications.
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3+ years of significant, hands-on industry experience with machine learning, natural language processing (NLP), and information retrieval systems, including designing, shipping, and maintaining production systems.
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We're on the lookout for a candidate who blends robust software engineering expertise with a solid grounding in natural language processing (NLP), adept at bringing machine learning models from concept to production.
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hands on learning jobs Title: solutions sr in New York, NY
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