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Roles and Responsibilities: Conducting cutting-edge research in the fields of artificial intelligence, machine learning, and robotics, specifically as they relate to autonomous vehicle technology.
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Absorb machine learning literature, particularly in natural language processing, and quickly prototype new techniques by engaging with relevant research papers and textbooks. Currently enrolled in or a recent graduate of a PhD or Master degree program in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
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LLM, RAG, Data engineer, Python, Pyspark, Machine learning, Gen AI, AI/ML, Vector database, Databricks, Snowflake, Education: Bachelor’s degree in engineering, Computer Science or a related field; Master’s degree is a plus.
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Show advanced knowledge of Machine Learning Algorithms/AI techniques including Deep Learning Techniques (RNN, CNN, GAN, etc) Demonstrate ability to work with a variety of Deep learning frameworks including TensorFlow, Keras, Caffe, CNTK, etc.
$104,000 - $150,000 a yearTemporaryRemoteExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Job Highlights: Apply and develop artificial intelligence and machine learning (AI/ML) approaches (e.g. classification, clustering, machine learning, deep learning) on pharma research data sets (e.g. activity, function, ADME properties, physico-chemical properties, etc.
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Develop strategies, standards and best practices in the areas of machine learning, data visualization and data integration and lead adoption throughout Ignite. This person will develop a deep understanding of the analytical need and leverage knowledge of Equifax data assets, big data technologies, data engineering, keying and linking concepts, build attributes and statistical models using traditional and modern machine learning techniques.
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This high performing team works with clients to implement the full spectrum of data analytics and data science, from data querying and data wrangling, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as robotic process automation (RPA.
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Our scientists have significant expertise across a diverse set of disciplines in computational biology, bioinformatics, and machine learning, including multi-omic data analysis, functional genomics, systems biology and biomarker analysis.
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Machine Learning and Deep Learning (Some or all): Deep neural networks(CNN, RNN, LSTM), Supervised methods such as Tree based models (random forest, xgboost, Light GBM), K-NN, SVM as well as Unsupervised methods such as Clustering (Hierarchical, K-mean, K-medoids), Dimensionality reduction (PCA.
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Employees in this role use knowledge of machine learning, optimization, statistics, and applied mathematics along with abilities in software engineering with a focus on distributed computing and data storage infrastructure (e.g. “Big Data.
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A Glimpse into the Daily Routine of a Machine Learning Engineer. Self-motivated and proactive, with a passion for learning and staying updated with the latest trends and advancements in the field of data engineering.
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Strong knowledge, experience, and fluency in a wide variety of tools including Python with data science and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch), Spark, SQL; familiarity with Alteryx and Tableau preferred.
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Under the supervision and direction of the Expanded Learning Manager and Expanded Learning Site Lead, the Expanded Learning Mentor (ELM) will develop and implement academic and enrichment activities for groups of 20 students in grades 1st - 8th and/or groups of 10 in grade TK or Kindergarten.
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Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art, next generation big data and machine learning applications. Proven NLP machine learning skills, including Transformer, BERT, k-shot learning, XGBoost, TensorFlow, PyTorch, Keras, Elasticsearch, etc.
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Team members are engaged in the design and optimization of low level computational support for all aspects of machine learning and computational primitives in service of models such as Text to Speech, Voice Isolation, Apple Music Sing to mention a few.
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machine learning jobs Title: sr data Company: Wells Fargo Bank
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