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Familiarity with some of the following AI and Data Science frameworks: Pandas, PyTorch, Tensorflow/Keras, MXNET, Scikit-learn, Matplotlib, Numpy, fast.ai, Tensorboard, Ignite, Neptune, etc. 5 yrs usage of CUDA, PyTorch, TensorFlow-or similar.
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Preferred skills: NLP, Text mining, Tableau, PowerBI, SAS, Tensorflow. Preferred skills: NLP, Text mining, Tableau, PowerBI, Tensorflow. SynergisticIT continues to work with hundreds of satisfied American clients with our software programmers working on our projects and after gaining hands on experience on cutting edge technologies moving to contribute their skills to great clients like Apple, Google, Client, Ebay, Paypal, Kroger, the Walt Disney Company and hundreds more.
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Python, R, Matlab, Tensorflow, DMTK. Java, Spring, Spring Boot, AWS, Kafka, Kubernetes, Oracle, Postgres, DynamoDB, MongoDB, RESTful, Airflow, Redis, Hive, Presto etc. Full-stack experience in one or more of the following: Java, Spring, JavaScript, SQL, ReactJS, Redux, Spark, Kafka, Kubernetes, AWS, and the confidence to easily pick up others.
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Data science, machine learning, optimization models, Master's degree 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.
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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. Experience with building and training machine learning models using tools like TensorFlow, Keras, or PyTorch.
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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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Master's Degree in related field (e.g., Data Science, Predictive Analytics, Machine Learning, Statistics, Applied Mathematics, Computer Science) Bachelor's Degree in related field (e.g. Data Science, Predictive Analytics, Statistics, Marketing Analytics, Applied Mathematics, IT.
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Expertise in open source data science technologies such as Python, R, Spark, SQL. 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. Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more.
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Understanding of containerization technologies like Docker for packaging machine learning models and deploying them in production. Ability to design and implement end-to-end machine learning pipelines for data ingestion, processing, modeling, and deployment.
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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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Contribute towards advancing the AI Engineering and Data Science discipline in Ford Pro through the Community of Practice, including but not limited to driving data best practices, improving analytical processes, scaling knowledge and tools, and mentoring other data scientists.
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This is an exciting opportunity to be part of a team that will be instrumental in crafting the future of how we do business, with the commercial customer at the center of everything we do. Visa sponsorship is not available for this position.
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