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As a Machine Learning Engineer, you will partner with Data Scientists, Data Engineers, Data Analysts and other professionals. Machine Learning and Deep Learning: Good understanding of: ML algorithms like linear regression, logistic regression, etc., supervised, unsupervised, and reinforcement learning, AI Frameworks like TensorFlow, PyTorch, scikit-learn etc., Neural network, NLP, computer vision, and predictive analytics.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
$143,000 - $286,000 a yearFull-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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The successful candidate will bring experience as a data scientist and machine learning leader working for a company where "AI" is considered core to the company's success. Serve as a strategic leader as part of our data science & machine learning team, with responsibility for Xometry's pricing strategy.
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Build collaborative relationships with key stakeholders; set priorities aligned to business goals; communicate analysis, strategies, timelines, and work of the data science & machine learning team, and gain buy-in from executive leadership.
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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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Evangelize future data science solutions identified by Enterprise Data leadership, including innovations such as: machine learning, statistical modeling, feature discovery/selection, optimization, exploratory data analysis, data mining and pattern recognition.
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Microservices and App services, Cloud Managed SQL, Big data/data lakes, AI and Machine Learning, Azure Blobs, Office 365. NET Core ASP.NET, MVC, Entity framework, Unity, o JQuery, knockout, Angular, JS libraries, CSS Bootstraps, Visual Studio 2017, REST, LINQ, ArcGIS, ESRI, SQL Server, Dynatrace, o Cloud Managed SQL, Big data/data lakes.
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Lead Machine Learning Engineer. Experience working with cloud-based data warehouses like Snowflake, Redshift, or BigQuery. Experience with data transformation tooling (dbt is preferred), data pipeline services like Stitch and Fivetran, and orchestration tools like Airflow.
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Use your expertise in data modeling to design, build and maintain our analytics data warehouse that provides clean, accurate, and robust data sets to be leveraged for reporting, analytics, and machine learning initiatives.
$143,000 - $172,000Full-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Self-driven, challenge-loving, detail oriented, teamwork spirit, excellent communication skills, ability to multitask and manage expectationsNice to have:Experience in any of: machine learning, analytics, data mining, or data mart and warehouseExperience with Deep Learning platforms (Tensorflow/Keras/Spark MLlib) and SQL/Unix/ShellExperience with machine learning algorithms, NLP, and/or statistical methods a big plusYahoo is proud to be an equal opportunity workplace.
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Querying, algorithms, data engineering, natural language processing, engine recommendation, experimentation, programming, data storytelling and intelligence, predictive modeling, and machine learning.
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Prior experience in Python, SQL, distributed computing tools such as Databricks, AWS or other Cloud platforms; Well versed with Scikit-learn, PyTorch or other machine learning libraries and platforms.
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Comprehensive knowledge of data mining techniques, statistical analysis methods, and a rich portfolio of implemented machine learning algorithms. They will lead a team of data engineers and analysts, nurturing a culture of collaboration that spurs innovation and guarantees the streamlined processing of data and the refinement of machine learning models for optimal performance.
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Experience using statistical computer languages (R, Python, SQL to manipulate data and draw insights from large data sets. Knowledge of a variety of machine learning techniques (semantic segmentation, clustering, decision tree learning, artificial neural networks, and their real-world advantages/drawbacks.
$110,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Proficiency in programming languages such as Python, R, or SQL. Strong knowledge of machine learning techniques, statistical analysis, and data visualization tools (, Tableau, Power BI.
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