business development executive

• Enterprise Network Implementation for Global Enterprise customers.
• Extensive experience in a network implementation environment gained in an ISP or telco or enterprise environment.
• Good technical knowledge and practical experience of BGP, OSPF routing protocols & switching technology.
• Conversant in best practices appropriate to network design and security.
• Understanding of hardware and software performance and scaling limitations.
• Network implementation, and management using Cisco Routers & switches ( Nexus & Catalyst), Juniper M and T series routers, and Aruba Wireless.
• Excellent communication and interpersonal skills – confidence and professionalism both in working with multinational project teams and with clients on various levels of the organisation, from technical audiences to senior management
• Analytical and critical thinking; innovative problem-solving capability for complex customer requirements
• Ability to work under pressure from both customers and internal stakeholders and produce solution designs that are deliverable

Experience:
• A minimum of 4 years’ total experience in the areas of Networking and Telecommunications technologies
• At least 2 years’ experience in dealing with large, corporate customers in a technical solution Implementation profile.

If you’re one of the best and brightest, a highly-motivated innovator, a fast worker, and a fierce competitor, you might be just the person we’re looking for! Entrata’s Research and Development department is seeking a Software Engineer. You will spend a lot of time working with senior architects and directors, designing database schema, and laying out the basic code architecture so an offshore team can run with it. You will also be tasked with projects that you will own and see through to completion.

Responsibilities will include:

• Write well-designed, testable, efficient code 
• Solve technical problems by working closely with Development Managers, UX, Product Managers, and offshore teams
• Designs high-performance database schema and code architecture for their products
• Empower offshore teams to rapidly deliver stable, high-performing, and reliable code. This requires frequent interaction with them by teleconference.
• Reviews and corrects code for quality and design through constant evaluation of product code and getting involved in complicated or sensitive code
• Maintain database queries and write scalable SQL
• Contribute in all phases of the development life-cycle (back-end and front-end)
• Participate in and advocate for Agile and Scrum activities
• Prepare and produce releases of software components
• Handle high traffic website operations, be proactive with maintenance, and exhibit problem-solving skills to ensure optimal working and performance of the websites
• Build interfaces and change existing functionalities and logic of existing code for improvement
• Understand standard systems development life-cycle processes and apply agile methodology effectively on client & internal engagements
• Apply knowledge of industry trends and developments to improve service to the client and internal project

Minimum Qualifications:

• 2-5 years of development experience (PHP is preferred)Experience working with web-based applications and processes
• SQL and her database knowledge
• Strong written and verbal communication
• Ambitious, dedicated, and a little eccentric
• Team-oriented, willing to standardize code and architecture

Preferred Qualifications:

• Bachelor's Degree in Computer Science or related field preferred
• Experience with microservices
• Experience working with offshore teams

• Developing new user-facing features using React.js
• Building reusable components and front-end libraries for future use
• Translating designs and wireframes into high-quality code
• Optimizing components for maximum performance across a vast array of web-capable devices and browsers

• Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model
• Thorough understanding of React.js and its core principles
• Experience with popular React.js workflows (Redux)
• Familiarity with newer specifications of ECMAScript
• Experience with data structure libraries (e.g., Immutable.js)
• Knowledge of isomorphic React is a plus
• Familiarity with RESTful APIs
• Knowledge of modern authorization mechanisms, such as JSON Web Token
• Familiarity with modern front-end build pipelines and tools
• Ability to understand business requirements and translate them into technical requirements
• A knack for benchmarking and optimization
• Familiarity with code versioning tools (such as Git, SVN, and Mercurial)

Node JS Developer – Exp: 2-6 Years

Responsibilities:

• Developing and maintaining high performance and scalable web applications and API’s.
• Managing front-end and third party APIs integration.
• Writing unit, integration and E2E test cases.
• Implementation of security and data protection.
• Managing deployment and handling client interaction and demos
  
  

Skills And Qualifications:

• Highly proficient in JavaScript and Typescript, PassportJs, Sequelize.
• Working knowledge of Node.js frameworks such as ExpressJs, SailsJs, VueJs and  ElectronJs.
• Good understanding of server-side templating languages such as Jade, EJS, Mustache etc.
• Good understanding of server-side CSS preprocessors such as Stylus, Less,Sass etc.
• Basic understanding of front-end technologies, such as HTML5, and CSS3
• Sound knowledge of Testing frameworks such as Mocha, Chai, Jasmine, Cucumber etc.
• Experience of writing unit, integration and E2E tests.
• Experience of working with SQL and No-SQL databases.
• Experience of integrating third party APIs.
• Good understanding of code versioning tools, such as Git.
• Good Communication Skills.
  
  

Introduction to Jellyfish Technologies

Founded in 2011, Jellyfish Technologies is a global software development company leading the revolution in Fintech, Insurtech, healthtech, IoT, BPA, and DCX, among others.

We apply advanced AI & ML technologies and robotics to offer new-age and highly efficient solutions to international clients. We have recently launched an automated productivity product in the North American market.

We are a service/product based software development company that transforms ideas into applications. Our cross functional team of motivated, skilled and experienced software engineers and designers, help the clients unlock the business values of their enterprises in a time-bound and cost-effective manner. 

Website: https://www.jellyfishtechnologies.com/">https://www.jellyfishtechnologies.com

LinkedIn: https://www.linkedin.com/company/teamjft/">https://www.linkedin.com/company/teamjft/ 

• 5+ Years of IT experience

• 3+ Years of development experience with either Automation Anywhere

• Knowledge on UI path

• Minimum of 3 years hand on experience working with Automation anywhere 10.7 or higher.

• Should have knowledge on 11.x.

• Proficient in automating complex business requirements and proactively propose alternate solution.

• Designing and development of bots/Metabot to enhance the functionality.

• Must have worked on automating process that involve ERP systems, web sytems.

• Proficient in understanding the requiement and propose the relevant RPA tool (Automation anywhere and UI path)

• Should be open to learn new technogies and share the workload of team members.

• Bachelor’s/Master’s degree in Computer Science/Information Technology or a related field

• Strong verbal and written communication

• Strong analytical and problem-solving skill

• Relationship management

Role and Responsibilities

• Execute data mining projects, training and deploying models over a typical duration of 2 -12 months.
• The ideal candidate should be able to innovate, analyze the customer requirement, develop a solution in the time box of the project plan, execute and deploy the solution.
• Integrate the data mining projects embedded data mining applications in the FogHorn platform (on Docker or Android).

Core Qualifications
Candidates must meet ALL of the following qualifications:

• Have analyzed, trained and deployed at least three data mining models in the past. If the candidate did not directly deploy their own models, they will have worked with others who have put their models into production. The models should have been validated as robust over at least an initial time period.
• Three years of industry work experience, developing data mining models which were deployed and used.
• Programming experience in Python is core using data mining related libraries like Scikit-Learn. Other relevant Python mining libraries include NumPy, SciPy and Pandas.
• Data mining algorithm experience in at least 3 algorithms across: prediction (statistical regression, neural nets, deep learning, decision trees, SVM, ensembles), clustering (k-means, DBSCAN or other) or Bayesian networks

Bonus Qualifications
Any of the following extra qualifications will make a candidate more competitive:

• Soft Skills
  • Sets expectations, develops project plans and meets expectations.
  • Experience adapting technical dialogue to the right level for the audience (i.e. executives) or specific jargon for a given vertical market and job function.
• Technical skills
  • Commonly, candidates have a MS or Ph.D. in Computer Science, Math, Statistics or an engineering technical discipline. BS candidates with experience are considered.
  • Have managed past models in production over their full life cycle until model replacement is needed. Have developed automated model refreshing on newer data. Have developed frameworks for model automation as a prototype for product.
  • Training or experience in Deep Learning, such as TensorFlow, Keras, convolutional neural networks (CNN) or Long Short Term Memory (LSTM) neural network architectures. If you don’t have deep learning experience, we will train you on the job.
  • Shrinking deep learning models, optimizing to speed up execution time of scoring or inference.
  • OpenCV or other image processing tools or libraries
  • Cloud computing: Google Cloud, Amazon AWS or Microsoft Azure. We have integration with Google Cloud and are working on other integrations.
  • Decision trees like XGBoost or Random Forests is helpful.
  • Complex Event Processing (CEP) or other streaming data as a data source for data mining analysis
  • Time series algorithms from ARIMA to LSTM to Digital Signal Processing (DSP).
  • Bayesian Networks (BN), a.k.a. Bayesian Belief Networks (BBN) or Graphical Belief Networks (GBN)
  • Experience with PMML is of interest (see www.DMG.org).
• Vertical experience in Industrial Internet of Things (IoT) applications:
  • Energy: Oil and Gas, Wind Turbines
  • Manufacturing: Motors, chemical processes, tools, automotive
  • Smart Cities: Elevators, cameras on population or cars, power grid
  • Transportation: Cars, truck fleets, trains

About FogHorn Systems
FogHorn is a leading developer of “edge intelligence” software for industrial and commercial IoT application solutions. FogHorn’s Lightning software platform brings the power of advanced analytics and machine learning to the on-premise edge environment enabling a new class of applications for advanced monitoring and diagnostics, machine performance optimization, proactive maintenance and operational intelligence use cases. FogHorn’s technology is ideally suited for OEMs, systems integrators and end customers in manufacturing, power and water, oil and gas, renewable energy, mining, transportation, healthcare, retail, as well as Smart Grid, Smart City, Smart Building and connected vehicle applications.

Press:  https://www.foghorn.io/press-room/">https://www.foghorn.io/press-room/

Awards: https://www.foghorn.io/awards-and-recognition/">https://www.foghorn.io/awards-and-recognition/

• 2019 Edge Computing Company of the Year – Compass Intelligence
• 2019 Internet of Things 50: 10 Coolest Industrial IoT Companies – CRN
• 2018 IoT Planforms Leadership Award & Edge Computing Excellence – IoT Evolution World Magazine
• 2018 10 Hot IoT Startups to Watch – Network World. (Gartner estimated 20 billion connected things in use worldwide by 2020)
• 2018 Winner in Artificial Intelligence and Machine Learning – Globe Awards
• 2018 Ten Edge Computing Vendors to Watch – ZDNet & 451 Research
• 2018 The 10 Most Innovative AI Solution Providers – Insights Success
• 2018 The AI 100 – CB Insights
• 2017 Cool Vendor in IoT Edge Computing – Gartner
• 2017 20 Most Promising AI Service Providers – CIO Review

Our Series A round was for $15 million.  Our Series B round was for $30 million October 2017.  Investors include: Saudi Aramco Energy Ventures, Intel Capital, GE, Dell, Bosch, Honeywell and The Hive.

About the Data Science Solutions team
In 2018, our Data Science Solutions team grew from 4 to 9.  We are growing again from 11. We work on revenue generating projects for clients, such as predictive maintenance, time to failure, manufacturing defects.  About half of our projects have been related to vision recognition or deep learning. We are not only working on consulting projects but developing vertical solution applications that run on our Lightning platform, with embedded data mining.

Our data scientists like our team because:

• We care about “best practices”
• Have a direct impact on the company’s revenue
• Give or receive mentoring as part of the collaborative process
• Questions and challenging the status quo with data is safe
• Intellectual curiosity balanced with humility
• Present papers or projects in our “Thought Leadership” meeting series, to support continuous learning