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Data science, machine learning, optimization models, Master's degree 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 building machine/deep learning models with at least one common framework such as PyTorch, Tensorflow, or JAX. You may need to do data archaeology, create and debug pipelines in tools like Kubeflow or Flyte, quickly learn the basics of protein folding or codon optimization, become the company's expert on a new tool, debug odd results created by a production model for a project under a time crunch, contribute to brainstorming, planning and prioritization, make presentations, give feedback on others' proposals and code, and more.
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You have experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. You will collaborate with data scientists and biologists to integrate computational chemistry and experimental data to drive drug discovery programs forward.
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At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) Therefore, we prioritize individuals coming from the following communities: Refugee, Neurodivergent, Single Parent, Blind or Low Vision, Deaf or Hard of Hearing, Black, Hispanic, Asian, Military Veterans, the Elderly, the LGBTQ, and Justice Impacted individuals.
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Proficient in Python or R, with familiarity in AI/ML libraries like TensorFlow, PyTorch, LangChain, and LLaMA, focusing on multi-agent systems. Solid understanding of NLP, predictive modeling, statistical analysis, and machine learning algorithms, showcased through a portfolio of innovative AI solutions.
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Experience with a range of machine learning related frameworks and libraries, such as Python scikit-learn, Pandas, StatsModels, Pandas, Keras, TensorFlow. Advanced programming skills in modern languages including Python, R, C#, Java, Scala and Go (Python required.
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Knowledge of other AI frameworks, products, or solutions such as TensorFlow. The Strategic Partnerships, Delivery and Innovation team in Google Cloud have two priorities - Engineering Incubation and Customer Incubation.
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77 West Wacker Dr (35012), United States of America, Chicago, IllinoisSenior Machine Learning Engineer (Python) New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning Engineer.
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Data Science ecosystem: pandas, numpy, scipy, sklearn, tensorflow, langchain, etc. Working on cloud platforms: Google Cloud, Databricks. As a Data Scientist working in the Tech Accelerator, you will use your expertise in Machine Learning to solve problems with high business impact and deploy models at scale using cutting-edge technologies.
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Proficiency with at least one common Deep Learning framework (e.g. PyTorch, TensorFlow) An advanced degree (MS or PhD) in computer science, artificial intelligence, applied mathematics, statistics, machine learning or related field.
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In-depth knowledge of deep learning frameworks such as TensorFlow, PyTorch, and other open sources libraries / APIs or similar. Our Innovation Labs team works on research and implementation across various advanced domains, including AI, machine learning, NLP, analytics, blockchain, and more.
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Practical experience conducting technical research collaboratively, with proficiency in frameworks like Pytorch, Jax, or Tensorflow. Hands-on experience with open source LLM fine-tuning or involvement in bespoke LLM fine-tuning projects using Pytorch/Jax.
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Experience with ML libraries/frameworks such as Tensorflow, AWS Sagemaker, Keras, PyTorch, etc. This role will provide exposure to cutting-edge innovations in product search, information retrieval, natural language processing (NLP), deep learning, and image processing.
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Familiar with MLOps/AIOps, hands-on and strong level experience with AI/ML frameworks such as Keras, Pytorch, Tensorflow. Medical, Dental, Vision, FSA/HSA, Life Insurance and Pet Insurance. Familiar with MLOps/AIOps, hands-on and strong level experience with AI/ML frameworks such as Keras, Pytorch, Tensorflow.
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Hands on experience with GCP AI services including Vertex AI, BigQuery ML, Cloud AutoML, and TensorFlow. Lead the design and development of AI solutions that address specific business challenges, utilizing GCP AI services such as Vertex AI, BigQuery ML, Cloud AutoML, and TensorFlow.
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tensorflow job in Inwood, NY
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