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Responsible for the administration, configuration, and optimization of the Databricks platform to enable data analytics, machine learning, and data engineering activities within the organization.
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Proficient with the core concepts of at least one programming language such as Python, R, and SQL and adept with machine learning frameworks such as TensorFlow and PySpark. Accredited Artificial Intelligence (AI) / Machine Learning (ML) certifications (e.g., AWS, Google Data Analytics, Microsoft Azure.
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Developing and deploying machine learning pipelines using Vertex AI and Kubeflow for data processing, feature engineering, model training, evaluation at scale in production on GCP ensuring data quality, integrity, and security.
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Experience in Natural Language Processing, Machine Learning Ops and data pipelines. Lead Machine Learning Engineer. Serve as a subject matter expert in machine learning and fintech domains.
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Subject matter expert in cyber security practices that include the configuration and architecture of security tools and products, service-oriented architecture, machine learning and artificial intelligence, Domain-Driven Design, etc.
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In supporting rule analysis, Teammate should be able to Independently perform sophisticated data analytics that fit to the fraud problem being observed (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data.
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Experience or interest in data science, machine learning, artificial intelligence, wireless communications, sensors, semiconductors, Internet of Things, Ior related fields. Receive training and development that could lead to becoming a licensed patent agent by the United States Patent and Trademark Office (USPTO.
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5+ years experience in AMAMR-related areas of machine computational/environmental perception including expertise with one or more SLAM algorithms, collision detection, computer vision, machine learning, and ground robotic software (ROS.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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Demonstrated professional familiarity with Artificial Intelligence (AI), machine learning, cybersecurity, IoT security, and global technology supply chain is an asset. Processing billions of data points a day, Geotab leverages data analytics and machine learning to improve productivity, optimize fleets through the reduction of fuel consumption, enhance driver safety and achieve strong compliance to regulatory changes.
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Motivated individuals who are looking for a career path to becoming a licensed patent agent with the United States Patent and Trademark Office (USPTO). Patent Specialist - IP PatentsLocation: Atlanta, GA | Charlotte, NCAn AmLaw 50 international law firm's Intellectual Property – Patents Group is looking for a Patent Specialist with a background in computer science or electrical engineering.
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Comprehensive benefits package, including medical, dental, vision insurance, 401(k) plan, personal medical and parental leave, paid holidays, dependent care, elder care, concierge services, financial and physical well-being, and personal health advocacy programs, and various corporate discounts.
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The School is also a key player in interdisciplinary initiatives established within Georgia Tech, such as quantum systems, neuroscience, microbial dynamics, planetary sciences, and data science/machine learning.
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Knowledgeable in Prescriptive Modeling like Machine Learning, Deep Learning, Recommendation, Search, or NLP. This team supports the analytics and reporting needs across various commercial excellence functions including Marketing, Digital Commerce, Sales, Customer Experience (CX), Product Management, Corporate Strategy, Finance, and Pricing.
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San Francisco, California (Hybrid On-Site): $213,400 - $243,500 for Lead Machine Learning Engineer. New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Machine Learning Engineer.
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