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JOB SPECIFIC COMPETENCIES Develop impact-driven AI technologies for pathology Develop and maintain computational methods using deep learning for pathological image processing. With Three years of experience in scientific software development/analysis (specifically in Python, image processing and Deep Learning) CORE VALUES Caring: By our words and actions we demonstrate caring toward everyone.
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Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT.
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Image processing, graphics & ML / Computer Vision algorithms , e.g.: Stereo Depth estimation, Guided/Bilateral filtering, feature matching, style transfer, iterative algorithms, BLAS; Libraries such as OpenCV; ISP (demosaic, denoise, HDR etc.
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Expert level of Advanced and Predictive Analytical Methods e.g., Simulation, Design of Experiments, Genetic Algorithms, Ensemble Methods, Naïve Bayes, Neural Networks, regression, image processing, natural language processing.
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Ability to design and implement end-to-end machine learning pipelines for data ingestion, processing, modeling, and deployment. Familiarity with cloud-based data storage and processing technologies for handling large datasets efficiently.
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5) Image processing of in vivo and ex vivo MR images and extraction of radiomics features. Experiences in MRI methods, image processing (Matlab, Python) and analysis are required.
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Proficiency in Google Cloud Platform (GCP) services relevant to machine learning and AI, such as AI Platform, BigQuery, Dataflow, and Tensorflow. Master’s Degree in related field (e.g., Data Science, Predictive Analytics, Machine Learning, Statistics, Applied Mathematics, Computer Science.
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Bachelor’s Degree in related field (e.g. Data Science, Predictive Analytics, Statistics, Marketing Analytics, Applied Mathematics, IT) Expertise in open source data science technologies such as Python, R, Spark, SQL.
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Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply.
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A true one-stop shop, offering a full portfolio of electrified and internal combustion vehicles designed to integrate seamlessly with the Ford Pro ecosystem, helping customers' businesses thrive today and into the new era of electrification.
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Strong understanding of machine learning algorithms, techniques, and frameworks, including deep learning, neural networks, and ensemble methods. Experience with building and training machine learning models using tools like TensorFlow, Keras, or PyTorch.
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Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more. Understanding of containerization technologies like Docker for packaging machine learning models and deploying them in production.
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Drive AI products and services end-to-end in partnership with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions. 5+ years of experience using AI/ML , data science software (e.g., Python-based tools.
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Will your career be a deep dive into what you love, or a series of new teams and new skills? Knowledge of data preprocessing, feature engineering, and model evaluation techniques in machine learning projects.
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2+ years of experience acting as the senior technical lead helping facilitate analytical/technical discussions on solution tradeoffs for new feature implementations. The Senior AI Engineer will have a strong technical background and demonstrated experiences in Gen AI, Data Science and AI/ML. The ideal candidate will be responsible for delivery of analytical models and AI solutions.
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