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Your expertise in Azure, Fabric, Data Factory, Databricks, Python, ETL processes, data pipelines, Power BI, SQL, and other data technologies will be crucial in building a robust data infrastructure and delivering actionable insights.
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Strong experience with machine learning technology, such as: big data stack, Python, R, and visualization techniques. + Advanced degree preferred, with 5+ years of experience in Applied Econometrics, Statistics, Data Mining, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, or related field preferred.
$205,400 - $342,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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This candidate should be proficient in using BI tools such as Tableau, in addition to experience with one or more modern technologies such as relational databases, AWS, Snowflake, Python, Databricks, Git, and Machine Learning.
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Proficient in creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, natural language processing, decision trees, neural networks, etc.
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Experience with big data technology (Spark) and experience with cloud platforms (AWS, Google Cloud) is desirable. Proficiency in at least one of the programming languages such as Python, Java, GoLang.
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Must have 4 yrs of exp w/: bldg stat & machine learning modls; Python & SQL; wrkg w/ lge datasets & bldg data pipelines using Scala or Python; visualizatn tools (Tableau or matplotlib); Stat Inferences; anlyzg results & presentg results to tech & non-tec stakehldrs; usg mach learng & data sci techniques for data discovry & exploratn; & Model Interpretatn.
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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Machine Learning | Physics | Embedded Systems | Signal Processing | Data Analysis | Nvidia | Electrical Engineering | Cloud Computing | Cuda | TensorRT | Radio Frequency | Transmission Processing | Linux OS | Pytorch | Python | Causal Inference.
$175,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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As a Lead, Machine Learning Engineer, you will partner with Data Scientists, Data Engineers, Data Analysts and other professionals to implement machine learning models that will deliver stability, producibility, scalability and integration with other products and services.
$127,100 - $209,800 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Minimum Qualifications: 3+ years of professional experience in software engineering, using Python technologies Prior professional experience working with machine learning engineers and data scientists Experience with JavaScript frameworks such as React and TypeScript Professional experience with Spark and/or PySpark Prior experience with Gen AI tools such as GPT or BERT is a plus.
$130,000 - $170,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficiency with CI/CD processes and contributes to a sustainable and robust codebaseExperience with batch jobs/data pipelines and is comfortable deploying through these systems (i.e. Airflow, Luigi, Composer)Build and interact with production systems for serving machine learning predictions.
$165,000 - $190,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Experience with cloud computing platforms (, AWS, Azure, GCP) and cloud native computingProficiency in programming languages like Python, Java, Scala, C#, SQLExpertise in big data technologies such as Hadoop, Spark, Kafka, and NoSQL databasesKnowledge of data modeling, ETL processes, and data warehousing conceptsExceptional problem-solving abilities and teamwork skills.
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Learn to read order flow data around major supply/demand levels and implement volume imbalances and also machine learning. I'm looking for developing quant traders who can research & study my profitable intraday trading strategies and turn it into automation using QuantConnect, Python and any Prime Brokerage.
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Build and maintain the backend REST server that feeds machine learning data and BI (Business Intelligence) data to our intuitive React frontend. You'll be a key contributor to EvolutionIQ’s unified claims platform working closely with data science and data engineering teams to build a robust, scalable and intuitive web application.
$180,000 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in Data science and Machine learning using Python, R, Java, C#, Spark, AutoML, TensorFlow, Amazon AML, Microsoft machine learning studio, PyTorch, IBM Watson and any graph DB.
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