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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 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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The Machine Learning Engineer is responsible for proposing, planning, executing, and analyzing research and development machine learning projects related to the field of advanced manufacturing artificial intelligence.
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As a Machine Learning engineer in the Perception team you will be responsible to design and develop new Machine Learning models for our online perception system and deploy the model on our next-generation autonomous vehicle platform and ultimately to millions of Toyota production vehicles.
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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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As a Machine Learning Engineer at Nelnet, you'll be at the intersection of data science and software engineering. 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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Feature Engineering: Collaborate with Data Scientists to engineer features for machine learning models. 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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The Machine Learning Engineer will assist with large data pipelines of satellite imagery and help build computer vision models to detect and classify maritime objects in imagery data.
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We are looking for a strong ML engineer to build new capabilities in the Revenue Operating System to include Air Cargo demand forecasting and ML-based pricing capabilities. Leveraging deep learning, an advanced form of AI, FLYR is helping airlines, cargo, and hospitality businesses around the globe elevate their results.
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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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Join our team as a Machine Learning Engineer, where you will play a pivotal role in leveraging data-driven solutions to drive innovation and business impact. Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) and experience deploying machine learning models using containerization technologies (e.g., Docker, Kubernetes.
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Collaboration: Work closely with Data Engineers to ensure seamless data integration for machine learning models. Familiarity with cloud platforms like AWS for machine learning solutions.
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Mentorship: Provide guidance and mentorship to junior team members in machine learning best practices. Utilize CI/CD pipelines to automate the deployment and maintenance of machine learning solutions.
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Proficiency in at least one of the following deep learning framework, tensorflow, pytorch Proficient in core technologies like Spark, Hadoop and Hive. Proficiency in at least one of the following programming languages, Python, scala, Java. 5 years experience in one or more of the areas: machine learning, deep learning, computer vision, NLP, recommendation algorithm, Computational Advertising, Anomaly detection.
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Strong understanding of machine learning algorithms and statistical. Hands-on experience with machine learning frameworks such as. Your primary focus will be on designing, building, and deploying machine learning models to solve various business problems.
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machine learning engineer jobs Company: Careerbuilder
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