Graphic Designer

Job Description 

We are looking for a reliable Administration Executive. He will undertake administrative tasks, ensuring the rest of the staff has adequate support to work efficiently. The ideal candidate will be competent in prioritizing and working with little supervision. The administration executive will ensure smooth running of our company’s office.

Key Responsibilities:

• Admin & daily office facility work
• Ordering Office supplies (stationery, pantry and other inventory)
• Maintenance & repair of Assets/Laptops
• Bills & payment records.
• Supervision & Staffing of the office.
• Tracking budget expenses.

Desired Candidate Profile:

• Good verbal and written communication skills.
• Technical bent of mind to isolate a problem quickly.
• Have proven experience in the same domain.
• Proficient with Microsoft Office, Excel software and phone systems.

Education-

Education: Any Graduate

-Previous experience working as a Shopify developer.

-Strong knowledge of liquid programming language
-Generate custom – tailored Shopify theme and altering pre – existing template.
-Act as Shopify expert, specializing in all facets of the ecommerce platform.
-Strong hands to Install & Customize new Shopify theme.
-Clear concept of HTML5, CSS3, javascript/Jquery.
-Knowledge in other ecommerce platforms like Magento, woocommerce, BigCommerce will be preferred.
-Strong hands to Install & Customize new Shopify theme.
-A proficiency in working with different Shopify JS APIs (storefront, AJAX Cart, Sections etc.
-Excellent troubleshooting skills.
-Good project management skills

ROLE REQUIREMENTS

• Expertise level knowledge of  HTML5 : Comprehensive knowledge of tags, HTML API (Geo, Storage, More APIs), Canvas APIs, META Tags and Semantic markup 
• Expertise level knowledge of CSS3 : CSS Object Model, Selectors & Hierarchy, Layouts, Responsive Designs, Build Tools, SASS / SCSS & Flexbox
• Expertise level knowledge of ES6: Object-Oriented programming principles,  DOM Selectors, Event Handlers, Jquery - Functions, Callbacks, Promises, Debugging tools & approach
• Experience in creating build scripts from scratch using Webpack & Gulp with relevant plugins to improve DevOps
• Ability to independently create technical design of an Epic utilising the knowledge of JavaScript design patterns and CSS best practices
• Experience in reviewing the technical design and implementation of other frontend team members
• Ability to Suggest better alternatives to existing solutions for improving the solution quality (both functional and non-functional problems) 
• Ability to coach and line-manage senior frontend engineers, to help them grow their career
• Experience in Typescript and contemporary FE development frameworks like ReactJS, Angular & VueJS is preferred

QUALIFICATIONS & CHARACTERISTICS

• 8+ years of industry experience.
• Analytic and positive mindset with a personable and professional approach.
• Sharp attention to detail and a passion for new technology.
• Professional written and verbal communication.

Desired Candidate Profile

• A Master's degree in business administration (MBA), Marketing
• Minimum 5-6 yrs of Sales experience with understanding of paper industry
• Excellent verbal and written communication skills
• Willingness to travel regularly to different markets
• Proficiency with Microsoft office
• Strong analytical skills and ability to work well with little supervision

• A minimum of 3yrs of coding as an iOS Developer.
• In-depth experience with Swift and Xcode.
• Up to date with the latest Cocoa and iOS trends.
• Understanding of UI Kit, Core Animation, Interactions, GCD & Networking.
• Excellent understanding of design patterns & Object Oriented Programming.
• Understanding of analytics, remote reporting and measurements.
• Experience of working with Continuous Integration (CI) and Unit Testing on iOS.
• Experience with API’s and core data.
• Excellent debugging skills.
• Experience working with Git.
• Knowledge of socket based networking desirable.
• Understanding of the iOS ecosystem (APNs, Code signing, iTunes Connect, TestFlight).

Exp : 3 to 10 Years

Required Skills:

• Hands-on experience in installing, configuring and upgrading AAEP, POM, Speech solutions for global customers.
• Knowledge on integration of AAEP, POM, Speech servers with other adjunct and UC solutions.
• Well versed with Linux commands.
• Knowledge in deploying VMWare/OVA would be added advantage.
• Knowledge on Avaya product like CM, SM, SMGR, WebLM, Call center routing etc. would be added advantage.
• Installation, upgrade and integration AAEP, POM, Speech servers for global customers especially in USA.
• Testing and troubleshooting as required.
• Good planning & analytical skills and ability to communicate effectively with global customers. Work under pressure and deliver on customer timelines.
• Implementation and testing will require to be done during customer approved maintenance windows in the respective countries or regions. Will require late night work during implementation & testing.

• Good written and verbal communication skills
• Must have experience working with global customer
• Self-starter and capable of working independently
• Quick learning ability to learn future skills as per business requirement
• Able to work in flexible hours (including late India night and early morning) to support global customers in North America region

(Senior Product Engineer - ROR)

Experience - 3 to 6 years

Location  - Pune

We are looking for an enthusiastic developer with a strong understanding of core Ruby and Rails framework along with PostgreSQL database. Someone who is passionate about coding and loves to work in an ongoing challenging environment. You will be part of a talented software team. You have to consistently deliver in a fast paced environment and should be more than willing to build software that people love to use.

Key Responsibilities

The individual role that you’ll play in our team:

• Developing large multi-tenant applications in Rails.
• Understanding Rails best practices and religiously introducing those to our codebase.
• Knowledge on how to do effective Refactoring.
• Ability to write unit tests and following those practices religiously.
• Working closely with the Product managers and UX team.
• Helping QAs to write automated integration tests.
• Staying up-to-date with current and future Backend technologies and architectures.

Read the ‘Skills and Experience’ section, it is not the usual yada yada, you’ll be asked specific questions on these.

Skills and Experience

• Ruby on Rails architecture best practices
• Knowledge on the latest versions on ROR
• Strong OOP knowledge in Ruby.
• Asynchronous Networking in Ruby 
• Designing RESTFul HTTP APIs using JSON-Schema or JSON API (http://jsonapi.org/">jsonapi.org).
• Ability to architect and develop API only backend
• Experience in using ActiveRecordSerializer
• Understanding O-Auth2 or JWT (Json Web Token) authentication mechanisms.
• How to use RSpec
• Rails Security Best Practices
• PostgreSQL and Rails.
• SQL concepts like Joins, Relationships etc.
• Understanding DB Partition strategies.
• Knowledge about refactoring ActiveRecord Models (read this - “7 Patterns to Refactor Fat ActiveRecord Models”).
• Understanding scaling strategies for a high-traffic Rails applications (2 million+ requests a day).
• Background Job processing using Redis and Sidekiq
• Experience in using Amazon Web Services (AWS) tools.
• Writing automated Deployment Scripts using Capistrano, Ansible etc.
• Sending emails in Rails
• Knowledge in Linux and Git is mandatory

Optional Skills

• Knowledge in using Chef or Puppet
• Ability to do basic DevOps like setting up a Linux server.
• Websocket communication in Rails 5.
• Node.js
• JRuby

Scalefusion (formerly known as Mobilock Pro): (Our Flagship Product)  

Scalefusion MDM allows organizations to secure & manage endpoints including smartphones, tablets, laptops, rugged devices, mPOS, and digital signages, along with apps and content. It supports the management of Android, iOS, macOS and Windows 10 devices and ensures streamlined device management operations with InterOps. Fusion of Endpoints at Scale. 

Promobi Technologies:   

ProMobi Technologies provides a leading Mobile Device Management Solution under the brand Scalefusion. The solution allows organizations to manage Android and iOS devices from the cloud. It offers modern mobile device management (MDM), application management (MAM) and content management (MCM) experience for corporate-owned devices. Renowned organizations from startups to Fortune 500 trust Scalefusion for their Device 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