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Machine learning libraries: TensorFlow, PyTorch, Scikit-learn, Deploying and optimizing different pipelines that support various data science processes. · Machine Learning Engineer with 7+ years of experience in designing, building, and maintaining machine learning models and pipelines.
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Significant experience developing and implementing medium to large scale deep learning models and algorithms using modern software libraries such as PyTorch, TensorFlow, or similar as evidenced through publications or software releases.
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3+ years experience with deep learning software libraries such as PyTorch or TensorFlow. Currently has, or is in the process of obtaining, a PhD degree in Machine Learning (ML) Systems, Natural Language Processing (NLP), Machine Learning, Artificial Intelligence, relevant technical field, or equivalent practical experience.
$117,000 - $173,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience with statistics/machine learning packages like TensorFlow, Pytorch, Scipy, Keras, Numpy, Pandas, or Spark MLlib. Strong programming skills with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc.
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Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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Utilize: Python, Structured Query Language (SQL), TensorFlow, Cloud Computing & Docker, Machine Learning/Deep Learning algorithms, Probability & Statistics. One (1) year of experience must include utilizing Python, Structured Query Language (SQL), TensorFlow, Cloud Computing & Docker, Machine Learning/Deep Learning algorithms, Probability & Statistics.
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For data Science/Machine learning Positions. Spring boot, Microservices, Docker, Jenkins and REST API's experience. 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 1000's of candidates get jobs at technology clients like apple, google, Paypal, western union, Client, visa, walmart lab s etc to name a few.
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Expertise in machine learning toolchains and techniques, such as Pytorch, Jax, or Tensorflow. Whether it’s holding a PhD-level deep dive into understanding fairness and underlying bias in machine learning models, debating the merits of a Scandinavian design philosophy in our UI/UX, or writing responses for Medicare rules to influence U.S. health policy, we prioritize sharing our findings across the team and helping each other be successful.
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And experience with deep learning frameworks (e.g., PyTorch, TensorFlow). Strong expertise in computer vision and deep learning techniques (e.g., SLAM, TSDF, RANSAC). Experience with deep learning techniques for localization and mapping applications.
$180,000 - $210,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience with neural networks, deep learning, and reinforcement learning, using frameworks such as TensorFlow. As a Machine Learning Engineer, you will collaborate with data scientists, product managers, and data engineers to operationalize machine learning models in production and manage the lifecycle of artificial intelligence algorithms on a variety of domains.
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Familiarity with machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch) for analyzing Earth observation data in the context of carbon monitoring and climate analysis is advantageous.
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2+ years of hands-on experience with machine learning tools and libraries (scikit-learn, TensorFlow/Keras, PyTorch, Huggingface, AWS Sagemaker and/or Databricks etc.) Published research or Patents in machine learning, system design or data engineering.
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Strong proficiency in Python programming and deep learning frameworks (TensorFlow, PyTorch). Familiarity with deep learning frameworks like TensorFlow or PyTorch. 3+ years of experience in data science, machine learning, or a related field.
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High proficiency with Python and machine learning packages such as Sklearn or TensorFlow/Keras. Responsibilities include but are not limited to: applying machine learning, time series models, signal processing, and battery physics to develop predictive models and algorithms capable of predicting battery performance, battery state-of-health, and determining optimal cycling conditions.
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Expertise in popular machine learning frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, or Keras, with the ability to design and implement complex models from scratch. We are looking for a passionate senior machine learning engineer to join the team to partner with us to extend our existing set of traditional ML technologies and infrastructure and to help us blaze a path in the generative AI space.
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