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Required skills: credit/financial modelling; cloud computing environments; machine learning techniques/algorithms (classification, regression, clustering, feature engineering, decision trees, gradient boosting); statistical skills (distributions, statistical testing, regression, regulation); R; Python; Anaconda; TensorFlow; Scikit-learn; Keras; SQL; H2O.ai; Redshift.
ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Gserver config (Ansible), real-time messaging (RabbitMQ), task management (Airflow), micro services (Docker), system auditing, deploy automation (Jenkins), log management, database management (MongoDB, SQL), Python scripting, data analysis (Pandas, Scikit-Learn), etcWe strongly prefer hires with knowledge of Centos (Linux Distro) for remote servers, terminal/bash, crontab, system, SSH and SCP, Python 3.0, NumPy, TensorFlow, Click, IQfeed, CQG, IB, TradeStation, and especially Rithmic (API.
$150,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Skills: Ability to write robust code in one or more of Python, Go, and Java Proficient in core technologies like Spark, Hadoop and Hive. Experience in building real-time applications, preferably in Spark and streaming platforms like Kafka and Kinesis.
$78 - $79.37ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Understanding of statistical techniques and experience with various programming languages (Python, R, Java) for data science and machine learning. Broad expertise in machine learning frameworks (Keras, TensorFlow, PyTorch) including design, implementation, and considerations for performance and scalability.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Strong programming skills in Python, and experience with software development tools like Docker or Git. Experience with frameworks such as TensorFlow, PyTorch, or Keras. The successful candidate will be passionate about data and machine learning, with a strong background in Python and experience developing and implementing machine learning models.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Expérience du langage de programmation statistique (par exemple, Python), des techniques d'apprentissage automatique appliquées et de l'utilisation de cadres OSS (par exemple, TensorFlow ou PyTorch.
Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Preferred skills: NLP, Text mining, Tableau, PowerBI, SAS, Tensorflow. Knowledge of Statistics, SAS, Python, Computer Vision, and data visualization tools. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
RemoteExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Experience with quantitative finance, time-series modeling, cloud platforms (AWS, Azure or GCP), building ETL pipelines, leveraging NLP to extract features from text data and deep Learning frameworks (Tensorflow or Pytorch) a plus.
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Strong fluency in Python and SQL, experience with Tensorflow, PyTorch, Airflow and data warehouse. Strong experience with Python/R, forecasting methodologies, machine learning and statistics.
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And Python, with knowledge of OpenCV and programming on GPU using OpenGL or CUDA/CuDNN or TensorRT. Hands-on experience applying machine learning and deep learning to vision data, preferably direct experience with TensorFlow (preferred), Caffe, Keras, Theano or Torch.
Full-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Technical Mastery: Proficiency in AI/ML concepts, programming languages (Python, R, Scala), and familiarity with AI/ML frameworks (TensorFlow, PyTorch, Keras, etc.) The Chan Zuckerberg Biohub Chicago ( is an independent nonprofit research institute that brings together three powerhouse universities - Northwestern University, the University of Chicago, and the University of Illinois Urbana-Champaign - into a single collaborative technology and discovery engine.
Full-timeExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
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Perform model development, prototyping and database manipulation using SQL, Python, R and cloud-based systems such as AWS, Azure and Google Cloud Platform. Perform data analysis such as concept based quantitative analysis, time series analysis and GARCH, and machine learning techniques using Scikit-learn, TensorFlow.
$136,200 - $193,300 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Demonstrated 4+ years' hands-on experience with Python, SQL, Natural Language Processing (NLP), Large Language Model (LLM), TensorFlow/Pyspark/ or Keras is highly preferred. Demonstrated 4+ years' hands-on experience with Python, SQL, Natural Language Processing (NLP), Large Language Model (LLM), TensorFlow/Pyspark/ or Keras is highly preferred.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Expertise in Python machine and deep learning frameworks and libraries, e.g. PyTorch, Keras, Tensorflow, Scikit-learn, Numpy, SciPy. 2+ years of experience using statistical computer languages (Python, SQL, R, SAS, etc.
Full-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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Strong proficiency in Python, R, SQL, and experience with libraries/frameworks such as PyTorch, TensorFlow, and Scikit-learn. Experience with cloud and modern data science tools and platforms such as Databricks MLFlow, GCP BigQuery, AWS SageMaker, Kubeflow, and Azure ML.
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