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We are interested in a variety of topics including data visualization and interactivity, applied machine learning and AI, AI bias and trust, big graphs, natural language processing, data mining, big data management, and heterogenous data analytics.
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5+ years of practical experience in building, evaluating, scaling, and deploying machine learning pipelines with Python, preferably within the AWS ecosystem. 100% REMOTE Senior ML Ops Engineer / Lead Machine Learning Engineer Needed for Growing Subsidiary of a Large Public Company.
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Training in software, such as Stata, R, Python, SQL, Julia or Matlab. Stata, R, Python, SQL, Julia or Matlab). What opportunities are there for career development and continued learning.
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Ability to read, understand and script/code for data analysis, optimization, or regression (e.g. Python, R, MATLAB, STATA, Perl, PL/SQL, T-SQL, C#, Javascript, or GAMS) Contribute to artificial intelligence/machine learning (AI/ML) and data modeling projects.
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Expertise in machine learning, statistical modeling, data visualization, and familiarity with big data technologies and cloud platforms including AWS, Azure, or Google Cloud. Proficiency in programming languages such as Python, R, or Java.
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DynaCHIP is an advanced microfluidics platform that provides real-time, flow-through sample prep, and DynaMARK is a machine learning software module that provides on-demand advanced bioanalytics.
$130,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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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.
$198,375 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Candidate should know how to utilize Graphs Datasets (Neo4J or Knowledge graph Data sets) in “Data Science graphs use cases and Algorithms” (clustering, community detection, DFS, BFS, GNN and CNN and Deep Learning, etc.
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Experience with supporting moderate to high level Windows Linux system administration duties associated with the DevSecOps environment including: Hyper-V, Anaconda / Python packages, Gitlab, kubernetes (Rancher), Docker/Podman, Artifactory, X-ray,Neuvector, applications updates and upgrades, application hardening, general troubleshooting and other assigned duties.
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San Francisco and San Jose, California (Hybrid On-Site): $340,500 - $388,700 for Sr Distinguished Machine Learning Engineer. New York City (Hybrid On-Site): $321,500 - $366,900 for Sr Distinguished Machine Learning Engineer.
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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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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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The Itzhaki Lab, at Emory University School of Medicine, is a translational bedside-to-bench-to-bedside cardiac electrophysiology research laboratory that seeks to employ a Biomedical Engineering Postdoctoral Fellow specializing in one or more of the following areas: mathematical modeling of biological systems, microfluidics, and machine learning.
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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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Keywords: PLC Automation, Project Engineer, Industrial Automation, Systems Integrator, Electrical Engineering, Mechanical Engineering, Computer/Software Engineering, Rockwell Automation, Siemens, VFDs, Motion Control, Manufacturing Information Systems, Industrial Networks, Machine Vision Systems, Data Collection Technologies.
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