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Required Certification/Licenses/Training: AWS Certified Solutions Architect (Professional or Associate) and/or Google Cloud Professional Cloud Architect or Google Cloud Data Engineer is a plus.
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Experience with Databricks is a plus, their unity catalog, another plus. PLAYER BENEFITS We treat our team right From our many opportunities for professional development to our generous insurance and paid leave policies, we're committed to making sure our employees get as much out of FanDuel as we ask them to give.
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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.
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The Senior Machine Learning Engineer II is a versatile role in Behaviors that drives a wide spectrum of applied ML research and development to overcome challenges on urban roads.
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Ideal candidates are experienced in machine learning / statistical modeling, have a credit risk background and experience with complex big data environments. Ideal candidates are experienced in machine learning / statistical modelling, have a credit risk background and experience with complex big data environments.
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Mentorship and professional development resources to help you refine your game. From our many opportunities for professional development to our generous insurance and paid leave policies, we’re committed to making sure our employees get as much out of FanDuel as we ask them to give.
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JOB SUMMARY As a Senior Machine Learning Engineer, you will work on building AI/ML solutions across a wide range of business applications within The Friedkin Group of companies.
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Experience developing and deploying Machine Learning solutions on cloud platforms (e.g., AWS, Azure, or GCP). QUALIFICATIONS Bachelor’s degree in Computer Science, Computer Engineering, Information Technology or other relevant technical discipline 8 years of experience in developing business applications for Machine Learning and Data Science workloads.
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Strong programming skills in Python and Java; experience with Machine Learning libraries and frameworks. Optimize machine learning algorithms and infrastructure for performance, scalability, and cost-efficiency.
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As part of this role the applicant will play a significant part in setting the AI & ML agenda for The Friedkin Group, including working with business units to define potential opportunities, and defining standards and best practice for AI & ML at TFG. ESSENTIAL FUNCTIONS Design, train, and implement machine learning (supervised and unsupervised) algorithms Build, deploy, and maintain machine learning algorithms, interface endpoints, and back-end data infrastructure for digital products.
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Expertise in advanced analytical techniques (e.g., descriptive statistics, machine learning, optimization, pattern recognition, cluster analysis, etc.) This role encompasses transforming innovative ideas into real-world solutions through the application of sophisticated analytical techniques such as machine learning, optimization, and advanced analysis.
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Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI.
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By fusing cutting-edge machine learning, data analysis, and interactive visualization technologies, we research and develop scalable and transparent AI & big data analytic solutions (e.g., audio, images, sensor logs) for a range of domains, including Industry 4.0 (I4.0), IoT, autonomous driving, and connected vehicles.
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Experience in Supervised and Unsupervised Machine Learning including classification, forecasting, anomaly detection, pattern recognition using variety of techniques such as decision trees, regressions, ensemble methods and boosting algorithms., Good understanding of programming best practices, building for re-use and highly automated CI/CD pipelines.
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CERTIFICATES, LICENSES, REGISTRATIONS Relevant certifications such as Microsoft Certified: Azure Data Scientist Associate or AWS Certified Machine Learning are advantageous. JOB SUMMARY The Data Scientist – Machine Learning at The Friedkin Group (TFG) will design, develop, implement, maintain, and improve advanced data science initiatives across business units, directly aligning with strategic objectives.
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professional development a plus machine learning jobs Title: optimization
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