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Architect and own the build-release continuous integration processes of our deep learning software components that are built, tested, and released on various DL frameworks (Tensorflow, PyTorch, JAX, etc.
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Proven expertise in deep-learning frameworks, e.g., PyTorch, Tensorflow, etc. The leadership team at SafeAI brings a unique blend of autonomous technology and industry specific experience from some of the top companies in the world, such as Google, Apple, Tesla, Continental, Uber, Caterpillar, BHP and Rio Tinto.
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Within this ecosystem, the Neuron Compiler team is developing a deep learning compiler stack that takes state of the art LLM and Vision models created in frameworks such as TensorFlow, PyTorch, and JAX, and makes them run performantly on our accelerators.
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Proficiency in developing deep-learning models using PyTorch, JAX, or TensorFlow. Expertise in the internals of deep-learning frameworks like PyTorch, JAX, TensorFlow, etc. Proficiency in developing deep-learning models using PyTorch, JAX, or TensorFlow.
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Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow. Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow. We at Synergisticit understand the problem of the mismatch between employer's requirements and Employee skills and that's why since 2010 we have helped 1000s of candidates get jobs at technology clients like apple, google, Paypal, western union, bank of america, visa, walmart labs etc to name a few.
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Strong coding skills in Python, and experience with machine-learning and deep learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch, etc.) Family care services such as adoption and surrogacy reimbursement, fertility/infertility benefits, support for traveling mothers, and child, elder and pet care resources.
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Experience with engineering and supporting ML pipelines in a popular ML framework such as PyTorch, TensorFlow, jax, etc. Founded by an award-winning team of computer scientists and researchers out of MIT, we are a venture-backed company headquartered in Davis Square, Somerville, MA. Our investors include Amdocs, Andreessen Horowitz, Comcast Ventures, NEA, and Pillar VC.
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Experience in advanced analytics tools (Python, R) along with applied mathematics, ML, Deep Learning frameworks (such as TensorFlow), and ML techniques (such as random forest and neural networks.
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Experience with deep learning frameworks such as TensorFlow or Pytorch. React, Vue.js or similar. Experience with database systems such as Elasticsearch, DynamoDB, Aurora, BigQuery, Postgres, Cassandra, Redis.
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Experience in AI, Python programming and one of the following Deep Learning frameworks, PyTorch, MXNet, TensorFlow, Keras, and big data te chn ologies like Hive, PySpark, Synapse, and Databricks.
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You have a deep and wide understanding of Linux Operating Systems, Virtualization platforms, Cloud Computing, Configuration Management tools (example: Puppet, TensorFlow, Ansible) and strong familiarity with Oracle and/or SQL databases, VMWare and/or HyperV.
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Experience with machine learning related open source libraries including, but not limited to: Hadoop, Spark, SciKit-Learn, TensorFlow, etc. statistics, operations research, bioinformatics, economics, computational biology, computer science, mathematics, physics, electrical engineering, industrial engineering.
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Expert proficiency with ML-frameworks such as TensorFlow, PyTorch, JAX, Scikit-learn etc. It is where our exclusive Max Originals and iconic entertainment brands thrive, with HBO, HBO Max, Warner Bros., DC, Turner Classic Movies, Cartoon Network and more delivering the greatest array of series, movies, and specials for audiences of all ages.
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Experience in building, deploying, maintaining and sunsetting large-scale machine learning models and systems in production environments using TensorFlow, Keras, PyTorch, Scikit-Learn, AWS, Azure, Google Cloud.
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Programming: You are proficient in Python or other high level programming language with experience in using geospatial and machine learning libraries (eg., OpenCV, TensorFlow, PyTorch etc). Programming: You are proficient in Python or other high level programming language with experience in using geospatial and machine learning libraries (eg., OpenCV, TensorFlow, PyTorch etc.
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