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You have hands-on experience with data analytics and data engineering. You have in-depth understanding of applied machine learning algorithms, especially NLP, and statistics.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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5+ years of experience in data engineering, with a strong focus on AWS, Redshift, and Snowflake. Hands-on experience with dbt for data modeling and transformations.
ExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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S&P is a leader in risk management solutions leveraging automation and AI/ML. This role is a unique opportunity for hands-on ML scientists and NLP/Gen AI/ LLM scientists to grow into the next step in their career journey and apply her or his technical expertise in NLP, deep learning, GenAI, and LLMs to drive business value for multiple stakeholders while conducting cutting-edge applied research around LLMs, Gen AI, and related areas.
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Hands-on experience using modern big data pipelines (AWS, Google Cloud, Snowflake)AI/ML models, Natural language process (NLP) and data mining experience Required Experience:Degree within Computer Science, Data Engineering, Statistics, or a related field.
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You should have hands on experience with building out data stacks from scratch (e.g. dbt, Snowflake, Airflow, Fivetran) - particularly bringing data into a data warehouse and building robust data pipelines that are well documented and tested.
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Hands-on experience with Databricks for data engineering and analytics. We offer an array of services including Core Business Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud Adoption, Mobility, Digital Adoption, Agile & DevOps, Quality Assurance & Test Automation.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Establish patterns for re-use, standards, and best practices for Data Science & Data Engineering & Analytics such that Machine Learning Platform quality is maximized.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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This is a hands-on Machine Learning Engineer Manager so you should be someone that wants to get their hands dirty but equally someone with proven people management experience.
ExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Experience with data migration and tooling for Databricks is a plus. Senior Data Engineer - FTE, Wissen Technology, NYC - Hybrid. Data Engineer- FTE, Wissen Technology, NYC - Hybrid.
Full-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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This role is a unique opportunity for an experienced ML scientist and hands-on NLP/Gen AI/ LLM senior scientist to grow into the next step in their career journey and apply her or his domain expertise in NLP, deep learning, GenAI, and LLMs to drive business value for multiple stakeholders while mentoring and growing a ML Data Science team.
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You have hands-on experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages. You routinely survey research publications in the machine learning and software engineering communities.
$171,903 - $245,575 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Hands on experience building models with deep learning frameworks like PyTorch, Tensorflow, or JAX. Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet.
$111,600 - $212,800 a yearFull-timeExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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The Artificial Intelligence group is the central engineering group responsible for driving Machine Learning (ML) adoption at Bloomberg, with over 200 researchers and engineers working together to provide clients with the best-in-class news, research, market data, and analytics using innovative machine learning technology.
$160,000 - $240,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Perform feature engineering to prepare data for training and serving machine learning models. Hands-on experience with real-time data processing and streaming technologies (e.g., Apache Kafka, Apache Flink.
ExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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10+ years of hands-on experience in NLP, machine learning, or a related field. We are seeking a Principal Applied Scientist who is not just adept in the theoretical aspects of Machine Learning (ML), Artificial Intelligence (AI), and Large Language Models (LLMs) but also possesses a pragmatic, hands-on approach to navigating the complexities of innovation.
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hands on machine learning data engineering jobs in New York, United-states, District Of Columbia
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