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Familiarity and/or willing to learn deep learning capabilities leveraging Tensorflow/Torch. ALTA IT Services is seeking a Machine Learning Engineer to join our client on a multi year contract basis.
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New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning Engineer. As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Experience designing and deploying Machine Learning (ML) frameworks (e.g., TensorFlow, PyTorch, JAX, Spark ML, etc. As a Cloud Solutions Architect on the Google Public Sector team, you'll drive the development of Google Cloud Platform (GCP) prototypes in collaboration with customers and internal teams.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Experience with machine learning including model development, evaluation and optimization using tools and packages such as: sklearn, NumPy, PyTorch, or TensorFlow. Experience in Machine Learning to include: feature extraction statistical approaches, linear and non-linear classifiers and deep learning.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications.
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Familiar with PySpark and data processing libraries, machine learning frameworks (like Tensorflow, Keras or PyTorch), and other machine learning libraries. Familiar with Machine Learning life cycle, with knowledge of feature stores, MLflow, model registries, model deployment, model serving, and model monitoring.
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Demonstrated professional or academic experience with deep learning frameworks such as PyTorch, Tensorflow, or Keras. Demonstrated experience creating machine learning models that conduct text classification and topic modeling in Python using standard machine learning (SciKit Learn-) or deep learning models.
$200Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Background in signal processing and/or machine learning. Understanding AI/ML backend development processes, orchestration of Machine learning models and commonly used DevOps processes for model deployment.
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Demonstrated hands-on experience in Python, Javascript, and R.Demonstrated hands-on experience employing machine learning and deep learning modules such as Pandas, Scikit, Tensorflow, Pytorch.
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Experience with machine learning libraries such as sklearn, Pytorch, and TensorFlow. Experience with machine learning, deep learning, natural language processing (NLP)/large language models (LLMs), computer vision.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Create and maintain custody of production machine learning models across a variety of tasks, including but not limited to audio extraction, object recognition, Natural Language Processing (NLP), and other generic classification tasks.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Familiarity with open source python NLP and machine learning libraries such as NumPy, SpaCy, scikit-learn, Pandas, Keras, and Tensorflow. 5+ years of hands-on experience as a machine learning engineer or data scientist with at least 2 years focused on Natural Language Processing.
Full-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Machine Learning, AI, Deep Learning (TensorFlow, PyTorch), Text, (Classification, NLP, Topic and Language Modeling, Sentiment Analysis, Information Retrieval), Recommender Systems and Personalization, Threat Detection, Computer Vision, Data Mining, Statistics, or similar.
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Data science / Machine Learning tools to include Pandas, PyTorch/TensorFlow, NumPy, MatPlotLib, PostGreSQL, FastAPI. Data science / Machine Learning languages to include Python.
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Demonstrated experience applying deep learning and machine learning processing libraries, including PyTorch, TensorFlow, Keras, and scikit. The Candidate shall provide support for the US government (USG) ’s machine learning model development and deployment efforts specific to its cyber mission and targets.
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