Tech Sales Internship

The Impact you will create on the Job

Understand and handle deploying, troubleshooting issues with Compute, Networking, Storage, Database services on AWS & Azure.
IT experience in a team handling the cloud, infrastructure and Linux, Windows operating systems.
Working on  different services in AWS & Azure Cloud Platform
In depth knowledge of a wide range of AWS & Azure services in Compute, Storage, Networking, Infrastructure as a code, Serverless computing, IAM, CI/CD pipelines
Possess a thorough understanding of Internet based technologies (DNS, Security, IP Routing, SSH, FTP, HTTP/HTTPS etc.)

Job Description:

You will be working with a team of highly-motivated, young & dynamic teams of engineers & reporting to the Engineering Lead.

• Be honest, reliable & consistent
• Write efficient & clean code
• Have a strong sense of ownership
• Be a part of development & maintenance of Pluang web app, Operations dashboard and other 3rd party products we own
• Contribute to improving the quality of engineering process & engineering culture

• Strong in data structure and algorithms
• Experience in Node.js, Express, API Design & DOM
• Understanding of component based design or other design patterns
• Experience with unit testing, integration testing & continuous integration
• RDBMS and NoSQL databases preferably PostgreSQL, MongoDB
• Good to have passion for investing

• Attractive compensation package - competitive salary, flexible bonus scheme.
• We are always looking for ways to promote and inspire innovation.
• Individual career path - management and technical career growth, enhanced by learning and development program, regular performance assessment, teams of multi-national IT professionals.
• Healthy work environment - company-sponsored medical program, food, and beverage program, open communication.
• Friendly policies to support Work-life balance, team building, and celebrations.

write high quality reusable c# code in unity

create required plugins and modules from scratch

creating high quality VR training interactions based on story board

Candidates should have

• Excellent communication skills
• 2-3 years in any industry with operations execution knowledge
• The ability to work in a demanding startup environment
• Interact with Vendors, customers, and other stakeholders to ensure all bookings are serviced
• Bring on board fresh vendors and increase fleet capacity
• Liaison between vendors and Finance team to ensure invoices are cleared on time
• Followup with the customer immediately after every ride to recover any extras
• Can-do attitude to ensure the entire operations go smoothly.

• Experience with Dassault Enovia system administration in a windows environment
• Enovia 3DEXPERIENCE installations, upgrades, service pack installations and license management
• Experience in setting and maintaining TomEE and Apache Webservers
• Understanding of and familiarity with engineering product design, development, and manufacturing processes strongly preferred
• Interaction experience with Dassault on Service Requests is add advantage
• Generating and maintaining configuration management records for Enovia 3DEXPERIENCE system admin
• Strong Knowledge on MQL and TCL
• Added Advantage on Installation for new Enovia version above R2017x.
• Knowledge on Build deployments and Github repository.
• Working on Engineering and Manufacturing Central added Advantage.
• Strong interpersonal and verbal/written communication skills required.
• Demonstrate excellent communication skills including the ability to effectively communicate with internal team and external customers.
• Ability to use strong industry knowledge to relate to customer needs and dissolve customer concerns and high level of focus and attention to detail.
• Strong work ethic with good time management with ability to work with diverse teams and lead meetings.
• CAD integrations, Unified Product Structure, IIP Classification

Responsibilities:

• Work on customization and configuration of Engineering & Manufacturing central.
• Good experience in Core Java, J2EE, JSP, Servlets, Java Script, jQuery, MySQL/Oracle DB, HTML, XML, CSS

Responsibilities:

• User-centric development of high-quality code that is maintainable and testable
• Utilize flutter to design and build complex applications
• Create custom packages in flutter by employing the functionalities as well as the APIs accessible in native Android and iOS
• Create and translate the designs as well as the wireframes into high-quality responsive UI code
• Design and develop architecture as well as testable, viable, and functional software by using MVC & MVVM to implement new features and meet product requirement
• Determine and solve any issues present in the system and propose your ideas in terms of new features and improvements needed in the new system
• Propose ideal Data Structure keeping in mind space and time complexity
• Stay up-to-date with the industry trends and best practices
• Keep the Scrum Team up-to-date by updating and managing the code and the project on Git
• Make sure security rules are being followed while building the application
• Ensure, through validation of the cloud system, that new changes are not affecting the security of the backend server
• Maintain software throughout product lifecycle including design, development, verification & bug fixes
• Coordinate with the respective teams for bug fixing and ensure we have a stable product
• Be part of the core team developing new app features while focusing on improving our existing code
• Self-starter with excellent analytical, communication, and problem-solving skills

Basic Qualifications (Required Skills/Experience):

• At least 2 years of experience in mobile app development
• Experience with Flutter Development (or any other alternative like Kotlin, React native, Xamarin, Cordova, ionic etc) is a must
• Experience shipping two or more Android and/or iOS based applications utilizing hybrid technologies (flutter, ionic framework, react native, Xamarin)
• While focus is on hybrid, a solid native coding background in either Android or iOS is a must
• Experience in developing cross-platform mobile applications for Android (Java/Kotlin) iOS (Swift/Objective C), or other cross platform frameworks like React native or Xamarin
• Experience with Futter. This should include from making responsive UIs to efficiently query data and also manage states in an optimized manner
• Experience working in an Agile Environment

Preferred Qualifications (Desired Skills/Experience)

• Passionate about creating and refining great mobile user experiences
• Knowledge of JavaScript, React.js is a plus
• Knowledge of web technologies, HTML5, CSS, JavaScript is a plus

• Knowledge of mobile application security best practices is a plus
• Programming experience in Microsoft Stack (Strong C#, ASP.NET Web forms, Web API, SQL Server) is a plus
• Expertise in deploying hybrid applications across iOS App Store and Google Play App Store is a plus

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