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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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3-5 years of strong hands-on expertise on Cloud (AWS/Azure/GCP) with strong experience in working with modern data and analytics frameworks, big data, and DevOps techniques, and is proficient with programming languages (like Python, Java, Scala.
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RNN) in a work setting, not just academic projects Hands-on experience in building and deploying machine learning and statistical models using Python, PySpark, Machine Learning libraries, SQL. Experience in computing/programming skills; proficiency in Python, R, and Linux shell script.
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Strong SQL skills and hands-on experience with analytic tools like R & Python; & visualization tools like Tableau & Power BI.Exposure to cloud platforms and big data systems such as Hadoop HDFS, and Hive is a plus.
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2-5+ years of hands-on Python, SQL, Typescript/Javascript and Linux development experience. Conduct research on cutting edge technologies in AI/BI/ML/NLP, alternative data, FinTech, high performance computing (e.g. GPU, quantum computing) to discover the potential opportunities to the business applications.
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2-5+ years of experience in wide range of statistical and machine-learning techniques (e.g. time series analysis, NLP, deep learning and etc.) Mizuho has in place a hybrid working program, with varying opportunities for remote work depending on the nature of the role, needs of your department, as well as local laws and regulatory obligations.
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Good hands-on skills on Python, with good knowledge of NLTK libraries. Neural Nets, deep learning algos, tensor-flow(TF) trying to build a core team of a handful of data scientist for an Enterprise Risk Management team in the business side of a Financial Services Institution.
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Hands-on expertise in data technologies with proficiency in technologies such as Spark, Airflow, Databricks, AWS services (SQS, Kinesis, etc.) You have successfully partnered with Product, Data Engineering, Data Science and Machine Learning teams on strategic data initiatives.
$150Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet. Hands on experience building models with deep learning frameworks like PyTorch, Tensorflow, or JAX.
$111,600 - $212,800 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Programming skills in Python, SQL, Spark, R, hands on experience on using AWS framework or Azure ecosystem is a plus. The ideal candidate should have experience in developing applications that use generative models using deep learning techniques such as GPT-3, GPT-4, and other transformer-based models as well as experience around building guardrails around LLM generated outputs.
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Experience as a hands-on contributor or in leading a team to develop multiple advanced analytics solutions or design/implement large data engineering programs in areas such as price optimization, underwriting risk management, market mix effectiveness analysis, agency management, customer lifetime value, customer segmentation, claims analytics, contact center analytics, etc.
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Strong programming skills in Python and experience with deep learning frameworks such as TensorFlow or PyTorch. 10+ years of hands-on experience in NLP, machine learning, or a related field.
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You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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Work closely with Data Science / Machine Learning team to design, code, train, test, deploy and iterate on large scale machine learning systems. More than 70%+ of the time spent on coding and/or hands-on implementation of re-usable frameworks to drive adoption of Machine Learning in Amex.
$110,000 - $190,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month 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, ML and Deep Learning frameworks and libraries (TensorFlow, PyTorch, Keras) and ML techniques.
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