Next Page: 10000

          

Getting Your Hands Dirty with TensorFlow 2.0 and Keras API

 Cache   
Diving into technical details of the regression model creation with TensorFlow 2.0 and Keras API. In TensorFlow 2.0, Keras comes out of the box with TensorFlow library. API is simplified and more convenient to use.Read the complete article here.
          

Google previews site for sharing machine learning experiments

 Cache   

Google has unveiled TensorBoard.dev, an online platform where data scientists, researchers, machine learning practitioners, and software developers can share machine learning experiments and collaborate on machine learning projects. 

Now in a beta release stage, TensorBoard.dev lets users upload machine learning experiments for sharing with anyone. The platform leverages the TensorBoard visualization toolkit, which works with Google’s TensorFlow library for machine learning and deep learning.

To read this article in full, please click here


          

Google Cloud launches TensorFlow Enterprise

 Cache   

Google Cloud has introduced TensorFlow Enterprise, a cloud-based TensorFlow machine learning service that includes enterprise-grade support and managed services.

Based on Google’s popular, open source TensorFlow machine learning library, TensorFlow Enterprise is positioned to help machine learning researchers accelerate the creation of machine learning and deep learning models and ensure the reliability of AI applications. Workloads in Google Cloud can be scaled and compatibility-tested.

To read this article in full, please click here


          

Machine Learning Engineer

 Cache   
Join Hired and find your dream job as a Machine Learning Engineer at one of 10,000+ companies looking for candidates just like you. Companies on Hired apply to you, not the other way around. You???ll receive salary and compensation details upfront??? - before the interview - and be able to choose from a variety of industries you???re interested in, to find a job you???ll love in less than 2 weeks. We're looking for a talented AI expert to join our team. Responsibilities Engaging in data modeling and evaluation Developing new software and systems Designing trials and tests to measure the success of software and systems Working with teams and alone to design and implement AI models Skills An aptitude for statistics and calculating probability Familiarity in Machine Learning frameworks, such as Scikit-learn, Pytorch and Keras TensorFlow An eagerness to learn Determination - even when experiments fail, the ability to try again is key A desire to design AI technology that better serves humanity These Would Also Be Nice Good communication - even with those who do not understand AI Creative and critical thinking skills A willingness to continuously take on new projects Understanding the needs of the company Being results-driven

Requirements:

Hired
          

Python, Hadoop, and Machine Learning Software Engineer

 Cache   
SunIRef:it Python, Hadoop, and Machine Learning Software Engineer JP Morgan Chase 21,658 reviews - Wilmington, DE 19803 JP Morgan Chase 21,658 reviews Read what people are saying about working here. As a member of our Software Engineering Group we look first and foremost for people who are passionate around solving business problems through innovation & engineering practices. You will be required to apply your depth of knowledge and expertise to all aspects of the software development lifecycle, as well as partner continuously with your many stakeholders on a daily basis to stay focused on common goals. We embrace a culture of experimentation and constantly strive for improvement and learning. You'll work in a collaborative, trusting, thought-provoking environmentone that encourages diversity of thought and creative solutions that are in the best interests of our customers globally. This role requires a wide variety of strengths and capabilities, including: BS/BA degree or equivalent experience Advanced knowledge of application, data and infrastructure architecture disciplines Understanding of architecture and design across all systems Working proficiency in developmental toolsets Knowledge of industry wide technology trends and best practices Ability to work in large, collaborative teams to achieve organizational goals, and passionate about building an innovative culture Proficiency in one or more modern programming languages Python and Hadoop Understanding of software skills such as business analysis, development, maintenance and software improvement Experience with Machine Learning, Deep Learning, Data Mining, and/or Statistical Analysis tools. Strong hands-on experience with developing and deploying machine learning based models, statistical models, data mining, and business rules. Background on basic machine learning techniques including supervised, unsupervised, reinforcement and deep learning. Experience with machine learning tools such as Scikit Learn, Pandas, TensorFlow, SparkML, SAS, R, H20, Keras, Caf, Theano, etc. At least 5 years hands-on experience with various programing models such as Spring, Java, Python, or C/C++. Our Consumer & Community Banking Group depends on innovators like you to serve nearly 66 million consumers and over 4 million small businesses, municipalities and non-profits. You'll support the delivery of award winning tools and services that cover everything from personal and small business banking as well as lending, mortgages, credit cards, payments, auto finance and investment advice. This group is also focused on developing and delivering cutting edged mobile applications, digital experiences and next generation banking technology solutions to better serve our clients and customers. When you work at JPMorgan Chase & Co., you're not just working at a global financial institution. You're an integral part of one of the world's biggest tech organizations. In our global technology centers, our team of 50,000 technologists design, build and deploy everything from enterprise technology initiatives to big data and mobile solutions, as well as innovations in electronic payments, cybersecurity, machine learning, and cloud development. Our $11B annual investment in technology enables us to hire people to create innovative solutions that are transforming the financial services industry. At JPMorgan Chase & Co. we value the unique skills of every employee, and we're building a technology organization that thrives on diversity. We encourage professional growth and career development, and offer competitive benefits and compensation. If you're looking to build your career as part of a global technology team tackling big challenges that impact the lives of people and companies all around the world, we want to meet you. JP Morgan Chase - Just posted report job - original job
          

Machine Learning Engineer

 Cache   
Join Hired and find your dream job as a Machine Learning Engineer at one of 10,000+ companies looking for candidates just like you. Companies on Hired apply to you, not the other way around. You???ll receive salary and compensation details upfront??? - before the interview - and be able to choose from a variety of industries you???re interested in, to find a job you???ll love in less than 2 weeks. We're looking for a talented AI expert to join our team. Responsibilities Engaging in data modeling and evaluation Developing new software and systems Designing trials and tests to measure the success of software and systems Working with teams and alone to design and implement AI models Skills An aptitude for statistics and calculating probability Familiarity in Machine Learning frameworks, such as Scikit-learn, Pytorch and Keras TensorFlow An eagerness to learn Determination - even when experiments fail, the ability to try again is key A desire to design AI technology that better serves humanity These Would Also Be Nice Good communication - even with those who do not understand AI Creative and critical thinking skills A willingness to continuously take on new projects Understanding the needs of the company Being results-driven

Requirements:

Hired
          

Software Engineer (Python)

 Cache   
Summary

The Data Scientist will be part of the data science R&D team responsible for developing and managing a variety of data solutions and machine learning projects across all Appriss verticals.

Duties and Responsibilities

* Designing and implementing solutions related to machine learning and data mining on large data sets using statistical models, graph models, text mining and other modern.
* Conduct analysis, modeling, and analytics research for clients in retail, healthcare, public safety.
* Work with AWS, Azure and on-premise environments.
* Manipulate data from various data sources such as Netezza, Greenplum, SQL Server, raw files, and real time streaming data (SQS, Kinesis, Kafka).
* Experience building and deploying machine learning models and APIs.
* Testing, QA, and implementation of models and other predictive tools.
* Help support production applications and provide Tier 3 support.
* Collaborate with clients and internal teams to determine analysis specifications, product needs, and modeling initiatives and provide regular feedback.
* Prepare presentations and present results to internal and external clients, and potentially conferences.

Minimum Requirements

* Advanced degree in computer science or mathematics related fields
* 3+ years of experience with Python
* 3+ years of experience with SQL
* 2+ years as a Data Scientist/Analyst or Data Engineer
* Experience with linux, web APIs, and distributed systems
* Experience with AWS and/or Azure.
* Experience working with large amounts of structured or unstructured data.

Preferred Skills and Experience:
* Experience with libraries like Pandas, Tensorflow, Scikit-Learn, NetworkX
* ML skills in modern cloud environments such as AWS or Azure.
* Experience with Tableau or PowerBI or QuickSight
* Retail, Healthcare, or Criminal justice experience a plus.

Knowledge, Skills, Abilities, Experience, or Characteristics
* Demonstrated ability to apply statistical knowledge to analyze data to identify trends, outliers, develop/evaluate predictive models, create reports, automate processes
* Strong time management skills and project management skills
* Good verbal and written communication skills.
* Proficiency in PowerPoint & Excel.
* Ability and willingness to work with a team

Physical and Mental Requirements

Job is physically comfortable; individual has discretion about walking, standing, etc.

Job requires a very high level of judgment, exceptional analytical ability and creativity in investigating major problems that require original and highly innovative solutions. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

Other

Some travel may be involved for both training and customer facing issues.

Disclaimer

The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job.

Equal Opportunity Employer - M/F/V/H

Equal Opportunity Employer/Protected Veterans/Individuals with DisabilitiesThe contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor s legal duty to furnish information. 41 CFR 60-1.35(c)
          

Machine Learning Engineer

 Cache   
Join Hired and find your dream job as a Machine Learning Engineer at one of 10,000+ companies looking for candidates just like you. Companies on Hired apply to you, not the other way around. You???ll receive salary and compensation details upfront??? - before the interview - and be able to choose from a variety of industries you???re interested in, to find a job you???ll love in less than 2 weeks. We're looking for a talented AI expert to join our team. Responsibilities Engaging in data modeling and evaluation Developing new software and systems Designing trials and tests to measure the success of software and systems Working with teams and alone to design and implement AI models Skills An aptitude for statistics and calculating probability Familiarity in Machine Learning frameworks, such as Scikit-learn, Pytorch and Keras TensorFlow An eagerness to learn Determination - even when experiments fail, the ability to try again is key A desire to design AI technology that better serves humanity These Would Also Be Nice Good communication - even with those who do not understand AI Creative and critical thinking skills A willingness to continuously take on new projects Understanding the needs of the company Being results-driven

Requirements:

Hired
          

Machine Learning Engineer

 Cache   
Join Hired and find your dream job as a Machine Learning Engineer at one of 10,000+ companies looking for candidates just like you. Companies on Hired apply to you, not the other way around. You???ll receive salary and compensation details upfront??? - before the interview - and be able to choose from a variety of industries you???re interested in, to find a job you???ll love in less than 2 weeks. We're looking for a talented AI expert to join our team. Responsibilities Engaging in data modeling and evaluation Developing new software and systems Designing trials and tests to measure the success of software and systems Working with teams and alone to design and implement AI models Skills An aptitude for statistics and calculating probability Familiarity in Machine Learning frameworks, such as Scikit-learn, Pytorch and Keras TensorFlow An eagerness to learn Determination - even when experiments fail, the ability to try again is key A desire to design AI technology that better serves humanity These Would Also Be Nice Good communication - even with those who do not understand AI Creative and critical thinking skills A willingness to continuously take on new projects Understanding the needs of the company Being results-driven

Requirements:

Hired
          

Data Scientist I (Mid Level)

 Cache   
PURPOSE OF JOB

Uses advanced techniques that integrate traditional and non-traditional datasets and method to enable analytical solutions; Applies predictive analytics, machine learning, simulation, and optimization techniques to generate management insights and enable customer-facing applications; participates in building analytical solutions leveraging internal and external applications to deliver value and create competitive advantage; Translates complex analytical and technical concepts to non-technical employees

JOB REQUIREMENTS

* Partners with other analysts across the organization to fully define business problems and research questions; Supports SME's on cross functional matrixed teams to solve highly complex work critical to the organization.

* Integrates and extracts relevant information from large amounts of both structured and unstructured data (internal and external) to enable analytical solutions.

* Conducts advanced analytics leveraging predictive modeling, machine learning, simulation, optimization and other techniques to deliver insights or develop analytical solutions to achieve business objectives.

* Supports Subject Matter Experts (SME's) on efforts to develop scalable, efficient, automated solutions for large scale data analyses, model development, model validation and model implementation.

* Works with IT to research architecture for new products, services, and features.

* Develops algorithms and supporting code such that research efforts are based on the highest quality data.

* Translates complex analytical and technical concepts to non-technical employees to enable understanding and drive informed business decisions.

MINIMUM REQUIREMENTS

* Master's degree in Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or related field. 6 additional years of related experience beyond the minimum required may be substituted in lieu of a degree.

* 4 or more years of related experience and accountability for complex tasks and/or projects required.

* Proficient knowledge of the function/discipline and demonstrated application of knowledge, skills and abilities towards work products required.

* Proficient level of business acumen in the areas of the business operations, industry practices and emerging trends required.

Must complete 12 months in current position (from date of hire or date of placement), or must have manager's approval prior to posting.

*Qualifications may warrant placement in a different job level*

PREFERRED

* Expertise in experimental design, advanced statistical analysis, and modeling to discover key relationships in data and applying that information to predict likely future outcomes; fluent in regression, classification, tree-based models, clustering methods, text mining, and neural networks.

* Proven ability to enrich (add new information to) data, advise on appropriate course(s) of action to take based on results, summarize complex technical analysis for non-technical executive audiences, succinctly present visualizations of high dimensional data, and explain & justify the results of the analysis conducted.

* Highly competent at data wrangling and data engineering in SQL and SAS as well as advanced machine learning (ML) techniques using Python; comfortable in cloud computing environments (Azure, GCP, AWS).

* Hands-on experience developing products that utilize advanced machine learning techniques like deep learning in areas such as computer vision, Natural Language Processing (NLP), sensor data from the Internet of Things (IoT), and recommender systems; along with transitioning those solutions from the development environment into the production environment for full-time use.

* PhD in Computer Science, Applied Mathematics, Quantitative Economics, Operations Research, Statistics, or related field with coursework in advanced Machine Learning techniques (Natural Language Processing, Deep Neural Networks, etc).

* Fluent in deep learning frameworks and libraries (TensorFlow, Keras, PyTorch, etc).

* Highly skilled in handling Big Data (Hadoop, Hive, Spark, Kafka, etc).

* Experience in reinforcement learning, knowledge graphs and graph databases, Generative Adversarial Networks (GANs), semi-supervised learning, multi-task learning is a plus.

* Experience in publishing at top ML, computer vision, NLP, or AI conferences and/or contributing to ML/AI-related open source projects and/or converting ML/AI papers into code is a plus.

* Background in Property insurance operations with an understanding of claims, underwriting, and insurance pricing a plus.

* Additional Skills: Ability to translate business problems and requirements into technical solutions by building quick prototypes or proofs of concept with business and technical stakeholders.

* Ability to convert proofs of concept into scalable production solutions.

* Ability to lead teams by following best practices in development, automation, and continuous integration / continuous deployment (CI/CD) methods in an agile work environment.

* Ability to work in and with technical, multidisciplinary teams.

* Willingness to continuously learn and apply new analytical techniques

RELOCATION assistance is AVAILABLE for this position.

The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.

Must complete 12 months in current position (from date of hire or date of placement), or must have manager s approval prior to posting.

LAST DAY TO APPLY TO THE OPENING IS 11/06/19 BY 11:59 PM CST TIME.

USAA is an equal opportunity and affirmative action employer and gives consideration for employment to qualified applicants without regard to race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity or expression, pregnancy, veteran status or any other legally protected characteristic. If you'd like more information about your EEO rights as an applicant under the law, please click here. For USAA s Affirmative Action and EEO statement, please click here. Furthermore, USAA makes hiring decisions compliant with the Fair Chance Initiative for Hiring Ordinance (LAMC 189.00).

USAA provides equal opportunity to qualified individuals with disabilities and disabled veterans. If you need a reasonable accommodation, please email HumanResources@usaa.com or call 1-800-210-USAA and select option 3 for assistance.
          

Comment on 2019.3 EAP 2 by RenYiming

 Cache   
i dont know why tensorflow2.0 always shows the issue -- no reference __init__
          

Other: Machine Learning Engineer - Sharon, Massachusetts

 Cache   
Join Hired and find your dream job as a Machine Learning Engineer at one of 10,000+ companies looking for candidates just like you. Companies on Hired apply to you, not the other way around. You???ll receive salary and compensation details upfront??? - before the interview - and be able to choose from a variety of industries you???re interested in, to find a job you???ll love in less than 2 weeks. We're looking for a talented AI expert to join our team. Responsibilities Engaging in data modeling and evaluation Developing new software and systems Designing trials and tests to measure the success of software and systems Working with teams and alone to design and implement AI models Skills An aptitude for statistics and calculating probability Familiarity in Machine Learning frameworks, such as Scikit-learn, Pytorch and Keras TensorFlow An eagerness to learn Determination - even when experiments fail, the ability to try again is key A desire to design AI technology that better serves humanity These Would Also Be Nice Good communication - even with those who do not understand AI Creative and critical thinking skills A willingness to continuously take on new projects Understanding the needs of the company Being results-driven Requirements: Hired ()
          

AI/ML Executive Architect

 Cache   
Summary / DescriptionUnisys is seeking candidates to make a difference by providing meaningful solutions to help our government secure the nation and fulfill the mission of government most effectively and efficiently. We are looking for candidates for Artificial Intelligence/Machine Learning Executive Architect role for our corporate office in Reston, VA.--The role of an AI/ML Solution Executive includes:--- Educates Unisys Federal Delivery Leadership, our existing clients and prospects as to emerging opportunities to apply AI/ML analytics to better leverage government data to make more timely and better mission decisions--- Provides the AI/ML vision for Unisys Federal--- Participates actively in providing technical leadership for AI/ML opportunities in the new business development cycle from deal identification, participating in call plans, driving solution strategy, in responding to a solicitation and in participating in tech challenges/hackathons to showcase our AI/ML skills--- Working with Unisys business development, program teams, capture and account teams to engage customers to best understand their AI/ML needs and to present Unisys capabilities, offerings and solutions in a compelling manner, thereby shaping customer perspectives --- Leads the establishment and sustainment of Unisys portfolio of capabilities for AI/ML, including marketing literature, proposal content, BoE/rate cards, proof points, reference architectures and proofs of concept/demoware--- Provides deep domain expertise regarding AI/ML, data modeling, enterprise data warehousing, data integration, data quality, master data management, statistical analyses of primarily structured datasets--- Provides deep domain expertise of AI/ML algorithms, tooling and solutions to solve mission problems for Unisys Federal clients--- Provides expertise in building government oriented solutions leveraging NoSQL solutions, big data (Hadoop/Apache Spark), Geographic Information Systems (GIS), key-value pair, columnar, graph, search, natural language processing, data science, machine learning and data visualization --- Drives market demand for AI/ML solutions by providing concise messages tailored for Unisys customers and their desired outcomes--- Defines our go to market strategy for AI/ML --- Collaborates closely with our corporate solutions organizations and alliance partners to incubate, design and deliver AI/ML offerings--- Curates proof points and past performance qualifications for Unisys success stories for applying AI/ML capabilities supporting the mission of government--- Identifies market trends in technology for AI/ML solutions--- Collaborates with Unisys Commercial Solutions organizations to prioritize corporate investments in AI/ML solutions--- Works with business units in tailoring capability strategies specific for them and work with appropriate government relationships to shape agency procurement--- Shapes procurements through presentations to clients and other speaking engagements --- Determines which alliances to pursue and events for Unisys to participate The AI/ML Executive is intimately familiar with market trends, helps to define go to market strategy and ensure that Unisys is in a position to be the best choice for meeting our customers--- AI/ML needs through collaboration with customers, partners, and internal stake holders to understand the requirements and connect them with Unisys capabilities and offerings.RequirementsRequired Skills:--- Master's degree and 20 years of relevant experience or equivalent--- Strong expertise in designing and delivering AI/ML/Deep Learning solutions--- Expertise and experience implementing technology solutions in four or more of the following areas: database design, data warehousing, data governance, metadata management, big data, noSQL, data science, data analytics, machine learning, natural language processing, streaming data.--- Experience with scientific scripting languages (e.g. Python, R) and object oriented programming languages (e.g. Java, C#) --- Strong expertise with machine learning and deep learning models and algorithms--- Solid grounding in statistics, probability theory, data modeling, machine learning algorithms and software development techniques and languages used to implement analytics solutions--- Deep experience with data modeling and Big Data solution stacks--- Deep knowledge in enterprise IT technologies, including databases, storage, and networks--- Deep experience with one or more Deep Learning frameworks such as Apache MXNet, TensorFlow, Caffe2, Keras, Microsoft Cognitive Toolkit, Torch and Theanu--- Has a successful track record in providing technical leadership in federal new business pursuits --- In-depth understanding of application, cloud, middleware, data management and system architecture concepts; experience leading the design and integration of enterprise-level technical solutions. --- Experience in capturing technical requirements and defining technical solutions in the form of conceptual, logical, and physical designs, including the ability to articulate those concepts verbally, graphically and in writing. --- Ability to synthesize solution design information, architectural principles, available technologies, third-party products, and industry standards to formulate a system architecture that meets client requirements and can be delivered within the desired timeframe. --- Experience developing cost models, technical delivery plans, technical solutions and basis of estimates (BOEs), including BOM development. Also develop concept of operations and discuss these models in Agile, federal SDLC or ITIL based terms. --- Experience identifying potential design, performance, security, and support problems, including ability to identify technical risks/challenges and develop relevant mitigation strategies. --- Extensive knowledge of the broad spectrum of technology areas, including technology trends, forthcoming industry standards, new products, and the latest solution development techniques; ability to leverage this knowledge to formulate technical solution strategy. --- Ability to consistently apply architectural guidelines when creating new solution architectures. --- Ability to develop integrated technology requirements project plan. --- Ability to interface with team members at all levels, including business operations, finance, technology, and management. --- Was primary author for a technical conference or whitepaper submission. (to be provided)Desired Qualifications --- Certifications from leading analytics platform providers (Cloudera, Horton, Databricks, AWS, Microsoft, etc.) --- Experience in leading remote teams in building demonstrations and proofs of concept--- Experience in classical DMBOK data management practices including data governance, data quality management, master data management, metadata management practices and tools--- Deep knowledge of Federal domain-specific data formats and structures, data storage, retrieval, transport, optimization, and serialization schemes--- Demonstrated experience developing engineering solutions for both structured and unstructured data, including data search. --- Experience working with very large (petabyte scale) datasets including data integration, analysis and visualization--- Experience with data integration and ETL tools (e.g. Apache NiFi, SSIS, Informatica, Talend, Azure Data Factory)--About UnisysDo you have what it takes to be mission critical? Your skills and experience could be mission critical for our Unisys team supporting the Federal Government in their mission to protect and defend our nation, and transform the way government agencies manage information and improve responsiveness to their customers. --As a member of our diverse team, you---ll gain valuable career-enhancing experience as we support the design, development, testing, implementation, training, and maintenance of our federal government---s critical systems. Apply today to become mission critical and help our nation meet the growing need for IT security, improved infrastructure, big data, and advanced analytics.Unisys is a global information technology company that solves complex IT challenges at the intersection of modern and mission critical. We work with many of the world's largest companies and government organizations to secure and keep their mission-critical operations running at peak performance; streamline and transform their data centers; enhance support to their end users and constituents; and modernize their enterprise applications. We do this while protecting and building on their legacy IT investments. Our offerings include outsourcing and managed services, systems integration and consulting services, high-end server technology, cybersecurity and cloud management software, and maintenance and support services. Unisys has more than 23,000 employees serving clients around the world. Unisys offers a very competitive benefits package including health insurance coverage from first day of employment, a 401k with an immediately vested company match, vacation and educational benefits. To learn more about Unisys visit us at www.Unisys.com.Unisys is an Equal Opportunity Employer (EOE) - Minorities, Females, Disabled Persons, and Veterans.#FED#
          

Senior Systems Engineer - Denver, CO

 Cache   
Required Security Clearance: TS/SCI with an ability to get CI poly Required Certifications: N/A Required Education: Bachelor’s degree in technology or the sciences is preferred with 12 years experience. Required Experience: 12 years’ experience with a BA/BS. We can modify education based on the length of experience and actual education level. Functional Responsibility: Support high performance (HPC) and accelerated compute environments from the ground up. Help in the creation and maintenance of a DevOps process for program efforts, from the basic data collection and pre-processing, to building and training models in AI and Machine Learning within a R&D environment. Apply experience in devops, high-performance compute, GPU-processing, and cluster management. This is not system administration, this is an engineering role to optimize. You will be working as a direct engineer. Qualifications: Experience working on Linux systems. Experience with building and deploying containerized, gpu-enabled applications in Docker, Singularity, or Kubernetes. Experience in orchestration and cluster management tools such as Slurm, Mesos, or Moab. Experience with deploying systems in both on-premise and cloud environments (AWS, Azure, Google). Preferences: Strong preference to those with experience with AI and Machine Learning Development Tool Sets (Jupyter, Keras, TensorFlow, MPI, OpenMP, OpenCL, CUDA). Working Conditions: Work is typically based in a busy office environment and subject to frequent interruptions. Business work hours are normally set from Monday through Friday 8:00am to 5:00pm, however some extended or weekend hours may be required. Additional details on the precise hours will be informed to the candidate from the Program Manager/Hiring Manager. Physical Requirements: May be required to lift and carry items weighting up to 25 lbs. Requires intermittent standing, walking, sitting, squatting, stretching and bending throughout the work day. Background Screening/Check/Investigation: Successful Completion of a Background Screening/Check/Investigation will/may’ be required as a condition of hire. Employment Type: Full-time / Exempt Benefits: Metronome offers competitive compensation, a flexible benefits package, career development opportunities that reflect its commitment to creating a diverse and supportive workplace. Benefits include, not all inclusive – Medical, Vision & Dental Insurance, Paid Time-Off & Company Paid Holidays, Personal Development & Learning Opportunities. Other: An Equal Opportunity Employer: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status or disability status. Metronome LLC is committed to providing reasonable accommodations to employees and applicants for employment, to assure that individuals with disabilities enjoy full access to equal employment opportunity (EEO). Metronome LLC shall provide reasonable accommodations for known physical or mental limitations of qualified employees and applicants with disabilities, unless Metronome can demonstrate that a particular accommodation would impose an undue hardship on business operations. Applicants requesting a reasonable accommodation may make a request by contacting us.
          

לחברה בצפון הארץ דרוש מתכנת בעל נסיון בתחום עיבוד תמונה

 Cache   
היקף המשרה: גמישדרישות: 3-4 years of experience in Python or similar programming languages.Experience in machine learning/computer vision Advantages for developers with knowledge and experice in: data analysis (SQL and panda) Image ProcessingOpenCV, PyTorch, TensorFlow
          

Ubuntu Podcast from the UK LoCo: S12E31 – Ikari Warriors

 Cache   

This week we’ve been moonlighting on all the podcasts and live streaming to share Ubuntu bug reporting skills. We discuss Ubuntu on Raspberry Pi 4, Debian’s new homepage, elementary updates and Fedora 31. We also round up some events and our picks from the tech news.

It’s Season 12 Episode 31 of the Ubuntu Podcast! Alan Pope, Mark Johnson and Martin Wimpress are connected and speaking to your brain.

In this week’s show:

That’s all for this week! You can listen to the Ubuntu Podcast back catalogue on YouTube. If there’s a topic you’d like us to discuss, or you have any feedback on previous shows, please send your comments and suggestions to show@ubuntupodcast.org or Tweet us or Toot us or Comment on our Facebook page or comment on our sub-Reddit.


          

Artificial Intelligence In Cybersecurity

 Cache   
Artificial Intelligence is re-evaluating every aspect of cybersecurity today. From upgrading the organization's ability to predict data threats, attack breaching and protecting the proliferating number of threat surfaces with Zero Trust Security frameworks to make passwords obsolete, AI is essential in securing the perimeters of any business. At Jellyfish Technologies, we build super cool intelligent technologies based on a simple approach. Our engineers have worked on predicting stocks, weather, spam emails, and more using TensorFlow. If you are searching for artificial intelligence development company, feel free to contact us. For further communication, please visit here: - Url: - https://www.jellyfishtechnologies.com/why-cybersecurity-requires-artificial-intelligence.html ADDRESS: - US: - 159 West Broadway #200 Salt Lake City, UT, 84101 Phone: +1 (801) 477-4541 India: - H-134, First Floor, Sector 63, Noida Uttar Pradesh, India, 201301 Phone: +91-120-429-6782 Canada: - 20 Camden Street, Suite 200 Toronto, ON M5V 1V1, Canada Phone: +1 (647) 503-3001
          

Artificial Intelligence – Programming in Tensorflow

 Cache   
13 Nov 2019
          

Engineering: Machine Learning Engineer - Alamo, California

 Cache   
Join Hired and find your dream job as a Machine Learning Engineer at one of 10,000+ companies looking for candidates just like you. Companies on Hired apply to you, not the other way around. You???ll receive salary and compensation details upfront??? - before the interview - and be able to choose from a variety of industries you???re interested in, to find a job you???ll love in less than 2 weeks. We're looking for a talented AI expert to join our team. Responsibilities Engaging in data modeling and evaluation Developing new software and systems Designing trials and tests to measure the success of software and systems Working with teams and alone to design and implement AI models Skills An aptitude for statistics and calculating probability Familiarity in Machine Learning frameworks, such as Scikit-learn, Pytorch and Keras TensorFlow An eagerness to learn Determination - even when experiments fail, the ability to try again is key A desire to design AI technology that better serves humanity These Would Also Be Nice Good communication - even with those who do not understand AI Creative and critical thinking skills A willingness to continuously take on new projects Understanding the needs of the company Being results-driven Requirements: Hired ()
          

Remixing just got easier

 Cache   
The engineering team behind streaming music service Deezer just open-sourced Spleeter, their audio separation library built on Python and TensorFlow that uses machine learning to quickly and freely separate music into stems [their component tracks]. ... But how are the results? I tried a handful of tracks across multiple genres, and all performed incredibly well.



Next Page: 10000

© Googlier LLC, 2019