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Advanced data analytics – designing and building solutions using technologies such as Azure Data Factory, Azure Data Lake, HD Insights, SQL DWH, Stream Analytics, Machine Learning, R Server, Synapse, Azure Machine Learning (AML), Azure Kubernetes Service (AKS) for model deployments, Vector and Retrieval-Augmented Generation (RAG) implementation.
ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Deep familiarity with at least some of our tools: Kafka, Airflow, Spark, SQL, Python, Java/Scala. Our mission is to build seamless and intuitive tools for collecting and processing data at scale, in support of machine learning, marketing, business analysis, and ultimately delightful buyer and seller experiences.
$258,000 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Experience with any deep learning framework, including Tensorflow, Caffe, MxNet, Torch, Theano. Applied experience of machine learning algorithms using Python. Create and maintain state of the art scalable NLP solutions in Python/ Java/ Scala for multiple business problems.
$115,000 a yearFull-timeExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
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Extensive experience with Python Machine Learning toolset (Tensorflow, PyTorch, Scikit-learn, Numpy, Pandas) 10 + years of professional experience as a data scientist or machine learning engineer with proven track record of delivering functional product oriented ML solutions.
Full-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Machine Learning and Deep Learning: Good understanding of: ML algorithms like linear regression, logistic regression, etc., supervised, unsupervised, and reinforcement learning, AI Frameworks like TensorFlow, PyTorch, scikit-learn etc., Neural network, NLP, computer vision, and predictive analytics.
$209,800 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Solid understanding of AI/ML algorithms and techniques, including deep learning, time series forecasting and natural language processing. Experience in backend development, including databases (SQL/NoSQL/Graph), programming languages (Python/Java/Node.js), web frameworks, APIs, and microservices and possess front-end development skills, including HTML, CSS, and JavaScript.
Full-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.
Full-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Proficiency in Python, and experience with deep learning frameworks such as PyTorch, Tensorflow/Keras, MXNet. Has considerable knowledge of various machine learning algorithms and their applications, including (but not limited to): Random Forest, GBM, XGBoost, deep learning, NLP, and ensemble methods.
$150,480 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience In Deep Learning, TensorFlow/PyTorch Preferred. Many of our problems involve getting deep learning algorithms to train and inference at scale. Proficient in at least two of: R, Python, Scala, Java, or Expert at one of those.
$187,700 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Continuous Learning: Stay updated with the latest trends and advancements in data science, machine learning, and related fields, and actively seek opportunities to enhance skills and knowledge.
ExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Experience in Python and machine learning frameworks (such as PyTorch, TensorFlow or JAX). Experience building systems based on deep learning, natural language processing, computer vision, and/or generative models.
Full-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Concrete experience working with deep learning frameworks, either TensorFlow or Pytorch. Keep track of emerging tech and trends, research the state-of-art deep learning models, prototype new modeling ideas, and conduct offline and online experiments.
$270,000 a yearFull-timeExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
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You have deep exposure to data science & ML tech stacks (sklearn, Keras / PyTorch, tuning frameworks), data analysis & modeling, feel at home in Python/Pandas/Jupyter, and strive for scalable technical concepts and solutions.
$250,000 a yearFull-timeExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
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You will also work on building and deploying backend services and APIs to our Kubernetes infrastructure, write secure, stable, and scalable Python code, interface with our ground-breaking foundation model, and integrate with SQS, Kafka, S3, and DynamoDB to implement event streaming/processing logic.
$190,000 a yearFull-timeExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
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Experience in the data science and commercial application side of AI is of higher preference than working with machine or deep learning directly. Preference for data skew: knowledge of tools like Tableau, PowerBI, Looker, Python, or SQL is helpful, in addition to experience with traditional PM tools like JIRA, Confluence or Trello.
$150,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago
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