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Technical skills should include: Python, Java, Linux, Machine Learning tools, Angular, Kubernetes, Kafka, MS SQL Server,. Machine Learning and Java experience is a must. Practice areas include: Analytics, Intelligence, & Data Technology (AIDT), Client Platforms, Core Technology Services (CTS), Financial Advisor Platforms, Global Banking Technology (GBT), Investment Solutions Technology (IST), Institutional Wealth and Corporate Solutions Technology (IWCST), Technology Delivery Management (TDM), User Experience (UX), and the CAO team.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Strong software development skills in languages such as Python and familiarity with machine learning libraries such as Scikit, Tensorflow, Pytorch, Keras. We primarily employ various techniques from operations research to classical machine learning, deep learning, reinforcement learning, causal inference, and statistics.
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Experience in: Database technology (Oracle, DB2, Bigquery, Hadoop, Impala, and/or SQL); Data Cleaning, Manipulation, Analysis, and Reporting; Data visualization (javascript, tableau, gnuplot, and/or matplotlib); and Programming Language (Python, Javascript, Java, and/or C.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Experience with a variety ofMLandAItechniques(e.g.multivariate/logistic regression models, cluster analysis, predictive modeling, neural networks,deep learning,pricing models, decision trees,ensemble methods,etc.
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Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training. Experience coding in Python, R, Matlab, Java or other modern programming language.
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Data Analysis Tools - Python, R, RStudio, Jupyter Notebooks, SQL, Tableau. -10+ years experience with R, SQL, Python, or other data science programming languages; OR Master's/PhD. Extract and manipulate large datasets from data warehouses and Hadoop to prepare for modeling samples, using SQL, R, Python, Spark and other tools.
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The ideal candidate is highly technical, proficient in Java, python, Data Structures and have experience of building scalable solutions particularly around ML and AI/GenAI, but can lead across the full stack, along with good product sense and business understanding, to map the technology choices to the context of each initiative.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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The Expert Data Scientist will be a champion of the latest Machine Learning and Artificial Intelligence technology stack. Working knowledge or experience with one or more of the following tools: R, Python, Scala, Spark/pyspark or similar programming language.
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Competencies: SQL, Natural Language Processing (NLP), Python, PySpark/ApacheSpark, Databricks. Deep Learning: ANN, RNN, LSTM, CNN, Computer vision. Python libraries: Numpy, Pandas, SK-Learn, Matplotlib, Tensorflow, PyTorch.
ExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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Our Industries Sales Engineering organization is seeking a Principal Architect, Machine Learning, Industries Field CTO focused on Machine Learning and Artificial Intelligence to join our team who can provide leadership in working with both technical and business executives in the design and architecture of the Snowflake Cloud Data Platform as a critical component of their enterprise data architecture and overall machine learning ecosystem.
$176,000 - $252,000 a yearFull-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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Experience using statistical computer languages: R, Python, SQL, etc. Expertise with machine learning, data mining, and (robust) statistics. Experience using statistical computer languages: R, Python, SQL, etc.
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Proficient in data science tools and programming languages such as Python, R, Scala, SQL, and SAS. Work with a variety of data science tools and programming languages such as SAS, Python, R, Scala, SQL.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Ability to read, understand and script/code for data analysis, optimization, or regression (e.g. Python, R, MATLAB, STATA, Perl, PL/SQL, T-SQL, C#, Javascript, or GAMS. Contribute to artificial intelligence/machine learning (AI/ML) and data modeling projects.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks. 7+ years experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI.
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Our machine learning team primarily builds production algorithms in python, but we are open to candidates with different backgrounds. Familiarity with deep learning applied to a relevant domain like NLP or representation learning, e.g. RNNs, LSTMs, Transformers and associated libraries - tensorflow, keras, or pytorch.
$94,400 - $120,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago
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