OpenLaw DevOps Engineer. NewYork, NY - Remote OKFull-Time. OpenLaw is a ConsenSys spoke that is building next-generation smart legal agreements. We're using blockchain technology to reimagine the future of commerce and the $160 billion transactional legal market. About Us.
Ability to blend creative, problem-solving, and technical skills for refining existing theories or developing new system approaches to seize opportunities and sustain business success. Experience in Business Transformation/Change Management - Planning and Execution.
Job Id: 27190 Job Category: Data Analytics & Business Intelligence Job Location: Remote, NY 10001 Security Clearance: No Clearance Business Unit: Company JOB DESCRIPTION Company is currently looking for a HR Systems Analyst to work REMOTE. The HR Systems Analyst will
An IT services provider is searching for a person to fill their position for a Telecommute Senior Project Manager in NewYork City. Candidates will be responsible for the following: Developing project objectives and scope, while maintaining technical and timeline feasibility.
Engineering. Remote. Who We Are. Thinkful is a new type of school that brings high-growth tech careers to ambitious people everywhere. We provide 1-on-1 learning through our network of industry experts, hiring partners, and online platform to deliver a structured and flexible education.
Senior Data and Analytics Consultant (remote from NewYork City) Bytecode IO NewYork, NY, USA. Benefits Offered401K. Employment TypeFull-Time. Bytecode IO is a growing data consulting company that is looking for a customer focused SQL expert to join our team.
Leverage existing technical strengths and teac the systems that are new. Offer constructive advice for improvements and use and scale the systems in our existing platform. Required Skills: Strong Linux systems programming, maintenance, and platform security skills.
Developing and training new deep learning architectures for sparse, graph and tabular data problems in a variety of problem domains, while demonstrating that your algorithms perform better than traditional, non-DL based methods.