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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.
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The “Winning with Data” (WWD) capability in AbbVie’s International Commercial Business is driving the transformation of the organization into a data driven decision-making organization and is seeking an experienced and talented Machine Learning Operations Engineer to join our team.
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Deliver simple solutions to complex problems as a Machine Learning Engineer at GDIT. Here, you'll tailor cutting-edge solutions to the unique requirements of our clients. Our work depends on TS/SCI cleared Machine Learning Engineer joining our team to support our intelligence customer in Springfield, VA or St. Louis, MO.
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As a Machine Learning Engineer at TRM Labs, you will collaborate with an experienced team of engineers, data scientists, and research scientists to build scalable systems to detect, prevent, and mitigate cryptocurrency fraud and financial crime.
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As a Machine Learning Engineer at Nelnet, you'll be at the intersection of data science and software engineering. Feature Engineering: Collaborate with Data Scientists to engineer features for machine learning models.
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Our Machine Learning Engineer role is at the core of this transformation, creating intelligent systems that automate processes, derive insights, and enable us to make better decisions.
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As a Machine Learning Engineer you will help ensure today is safe and tomorrow is smarter. · Education: Bachelor or Master' Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or equivalent experience in lieu of degree.
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Collaboration: Work closely with Data Engineers to ensure seamless data integration for machine learning models. You'll collaborate closely with Data Scientists, Data Engineers, and business stakeholders to bring machine learning solutions from conceptualization to production.
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As a Machine Learning Engineer, you will partner with Data Scientists, Data Engineers, Data Analysts and other professionals. You will implement machine learning models that will deliver stability, producibility, scalability and integration with other products and services.
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Scalability: Design and implement scalable machine learning pipelines using cloud-based solutions on platforms like AWS, leveraging tools such as Terraform for infrastructure management.
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Model Development: Create, validate, and deploy machine learning models using advanced algorithms and frameworks like TensorFlow, PyTorch, or scikit-learn. Bachelor's or Master's in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
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Familiarity with cloud platforms like AWS for machine learning solutions. Mentorship: Provide guidance and mentorship to junior team members in machine learning best practices.
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Utilize CI/CD pipelines to automate the deployment and maintenance of machine learning solutions. Strong understanding of machine learning algorithms and statistical. Hands-on experience with machine learning frameworks such as.
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Your primary focus will be on designing, building, and deploying machine learning models to solve various business problems. Proficiency in using CI/CD pipelines for automating machine learning work.
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Minimum of 3 years of experience in machine learning engineering or. Experience in deploying machine learning models in production. If you're passionate about applying machine learning techniques to real-world challenges, we invite you to join our team and contribute to shaping the future of our business.
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machine learning financial services jobs Title: data engineer Company: American International Group
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