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Net, Python; Data Technologies: Oracle, Cassandra, Elastic Search, Aurora, NiFi, Cribl.io LogStream, Splunk, Hadoop, Tensorflow, Jupyter. Software/Tools: AWS, Docker, Jira, VMware vCenter/vRealize, Kubernetes, Jenkins, Ansible, Prometheus, and Grafana; Cloud Native: AWS EC2, AWS CDK, S3, CloudWatch, CloudFront, CloudConfig, Elastic Container Services (ECS), DynamoDB, RDS, ElasticSearch, PowerBI, Tableau.
$110,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience with the complete stack for distributed training of large models including ML compilers, distributed training frameworks, and ML development frameworks such as Pytorch, Tensorflow, Lightning etc.
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And SQL, TensorFlow, Keras, PyTorch, and Apache Spark and Hive. Python, and TensorFlow, Keras or PyTorch for time series and other sequence data prediction. At CHOC, we strive to be the leading destination of childrens health by providing exceptional and innovative care.
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Data science, machine learning, optimization models, PhD 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, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Research-oriented software engineering skills, including fluency with libraries for scientific computing (e.g. SciPy ecosystem) and machine learning (e.g., PyTorch, TensorFlow, Scikit-learn, Pandas.
$213,000 - $293,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Deep understanding of ML frameworks (e.g., TensorFlow, PyTorch) and programming languages commonly used in AI research. In-depth knowledge and proven track record in AI/ML technology, including deep learning, time series modeling, natural language processing, and unsupervised learning.
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Expertise in Deep Learning: Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or similar, with hands-on experience in designing, training, and deploying neural networks for video-related tasks.
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Experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases/knowledge bases, LLM hosting and fine-tuning. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
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Leverage a broad stack of technologies - PyTorch, Keras, TensorFlow, Scikit-learn, transformers, and more - to reveal the insights hidden within huge volumes of numeric and textual data. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI.
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Proven experience with AI/ML frameworks andlibraries: TensorFlow, PyTorch, scikit-learn, Keras, PySpark, H2O *Significant experience with cloud computing platforms: AWS, Azure, GCP. Proven experience with AI/ML frameworks andlibraries: TensorFlow, PyTorch, scikit-learn, Keras, PySpark, H2O *Significant experience with cloud computing platforms: AWS, Azure, GCP.
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Expertise in machine learning tools and packages like Python, Numpy, Pandas, Scikit-learn, SciPy, PyTorch, Tensorflow, etc. Expertise in machine learning tools and packages like Python, Numpy, Pandas, Scikit-learn, SciPy, PyTorch, Tensorflow, etc.
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Experience with deep learning framework and infrastructure like TensorFlow or PyTorch. Experience with deep learning framework and infrastructure like TensorFlow or PyTorch. Director - Talent Acquisition.
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Experience in ML frameworks such as PyTorch, JAX or TensorFlow. Experience in ML frameworks such as PyTorch, JAX or TensorFlow. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded.
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Experience with machine learning frameworks such as TensorFlow or Pytorch, Lightning, Mosaic ML etc. Experience with machine learning frameworks such as TensorFlow or Pytorch, Lightning, Mosaic ML etc.
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Experience designing large-scale distributed platforms and/or systems in cloud environments such as AWS, Azure, or GCP. At least 7 years of experience designing and building distributed computing HPC and large-scale ML systems.
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