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Working knowledge (Hands-on) of Databricks, Python and Snowflake. Total 7+ years of hands-on experience with advanced machine learning, data mining, statistical inference, mathematical modeling and deep learning techniques.
Full-timeRemoteExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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Demonstrated expertise in machine learning, deep learning, and NLP, with a strong portfolio in large language models like GPT-3, BERT, and RAG.Advanced proficiency in Python, with hands-on experience in ML libraries and frameworks such as TensorFlow and PyTorch.
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Experience leveraging complex data to drive business decisions, hands on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Pytong, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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Profound expertise in machine learning, deep learning, and natural language processing, coupled with hands-on experience in developing and deploying state-of-the-art models at scale.
$300,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Minimum Qualifications: Bachelor's degree in Computer Science, Statistics, Mathematics, Physics, Engineering, or a related fieldAt least 3 years of experience as a Data Scientist, with a focus on developing and deploying machine learning models in production environmentsStrong programming skills in at least one language (Python, SQL, Spark, C.
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3+ years of hands-on experience in operationalizing Machine Learning solutions which are used in live production processes. 2+ years of hands-on experience in using Databricks platform.
ExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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Hands on work with data science, data engineering, or machine learning problems within the PyData world. 6+ years of proven experience as a technical product manager, data scientist, data engineer, machine learning engineer, or similar role.
$253,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks. 3+ years’ experience developing AI or machine learning solutions on platforms such as AWS, Azure.
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Hands on experience in dealing with structured and unstructured data from multiple sources and applying machine learning techniques and algorithms to discover patterns, intents and build knowledge repositories and graphs to solve enterprise problems.
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Candidate must be very strong in Python development, and have solid hands-on experience with Google Cloud Platform (GCP) or other similar cloud platform such as AWS, Azure, PCF, etc.
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The ideal candidate should have hands-on knowledge on common loss forecasting methodologies (e.g. econometrics modeling, survival modeling, state transition, Markov Chain etc.) The Senior Staff Data Scientist will contribute to the performance analysis of SoFi products using empirical measurements, develop quantitative and machine learning models to forecast losses and provide insights on the drivers for losses.
$297,000 a yearFull-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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7+ years experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI. Consult with business stakeholders to understand their needs and challenges, assess how AI techniques like machine learning, natural language processing etc.
$307,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Hands-on experience with statistical software (e.g., Python, R, MATLAB) and strong background in programming. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.
$204,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Hands-on experience of machine learning methodologies including advanced analytics tools (such as R and Python) along with applied mathematics, Client and Deep Learning frameworks and libraries (TensorFlow, PyTorch, Keras) and Client techniques.
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Hands-on experience of machine learning methodologies including advanced analytics tools (such as R and Python) along with applied mathematics, ML and Deep Learning frameworks and libraries (TensorFlow, PyTorch, Keras) and ML techniques.
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