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Strong fluency in Python and SQL, experience with Tensorflow, PyTorch, Airflow and data warehouse. Strong experience with Python/R, forecasting methodologies, machine learning and statistics.
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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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New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning Engineer. Center 1 (19052), United States of America, McLean, VirginiaSenior 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.
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Experience architecting scalable process solutions prepared with big data, data driven Machine Learning tools such as TensorFlow, scikit-learn, Pandas, and NumPy, Natural Language Processing, and implementing data models and developing data sources to support organizational solutions.
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Expertise in open-source deep learning libraries such as PyTorch/TensorFlow/MXNet. Machine learning and deep learning methods, technologies, and tools. Developing and deploying deep learning projects in clinical workflows.
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New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Machine Learning Engineer. Lead Machine Learning Engineer. 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow.
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We seek a talented and dedicated software engineer to support Machine Learning/Natural Language Processing (ML/NLP). Experience with ML and NLP libraries (e.g., TensorFlow, PyTorch, NLTK, spaCy, Scikit-learn.
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Experience with tools and frameworks such as Python, TensorFlow, PyTorch, or scikit-learn. Proficiency in data analysis, statistical modeling, and machine learning concepts. Experience with tools and frameworks such as Python, TensorFlow, PyTorch, or scikit-learn.
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Hands-on experience with machine learning frameworks like TensorFlow, PyTorch, Keras, etc. Understanding of machine learning algorithms, statistical analysis, and predictive modeling applied to real-world business use cases.
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Strong expertise in machine learning frameworks (e.g., TensorFlow, PyTorch) and programming languages (e.g., Python, R). Proven experience as a Machine Learning Engineer or in a similar role.
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Proficient with the core concepts of at least one programming language such as Python, R, and SQL and adept with machine learning frameworks such as TensorFlow and PySpark. Accredited Artificial Intelligence (AI) / Machine Learning (ML) certifications (e.g., AWS, Google Data Analytics, Microsoft Azure.
$81,000 - $164,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Strong understanding of deep learning frameworks, such as TensorFlow, PyTorch, or MXNet. Master's degree or bachelor s degree in computer science, Machine Learning, or a related field, or equivalent experience.
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Familiar with deep learning platforms (e.g., Keras, Tensorflow) and related classification and segmentation algorithms. Applicants must have strong analytical, remote sensing and GIS skills and an exceptionally strong understanding of machine learning algorithms.
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Candidate should have experience architecting scalable process solutions prepared with big data, data driven Machine Learning tools such as TensorFlow, scikit-learn, Pandas, and NumPy, Natural Language Processing, and implementing data models and developing data sources to support organizational solutions.
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Familiarity with machine learning frameworks and libraries, such as TensorFlow, PyTorch, or scikit-learn. As a Junior Machine Learning Engineer, you will have the opportunity to work on exciting projects, develop your skills, and contribute to the development and implementation of machine learning solutions.
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