Web Developer

Requirements

We are seeking an experienced OIC Lead to drive and manage B2B technical integrations and ensure seamless connectivity across enterprise applications. The role requires strong expertise in Oracle Integration Cloud (OIC), SOA, and related integration platforms, with the ability to collaborate effectively with stakeholders and lead integration initiatives.

Key Responsibilities

• Lead the design, development, testing, and support of enterprise application integrations using OIC, SOA, SOACS, and MFT.
• Oversee end-to-end B2B integration processes, including EDI and cloud-based integrations.
• Collaborate with cross-functional teams, including business stakeholders, technical teams, and 3rd party vendors, to deliver integration solutions.
• Provide technical leadership and best practices for ERP integration across platforms such as Oracle Cloud ERP and SAP.
• Apply domain expertise in business processes such as Procure-to-Pay, Order-to- Cash, logistics, procurement, and supply chain.
• Identify opportunities for process improvement, implement automation, and enhance integration efficiency.
• Qualifications
• Minimum 5+ years of professional experience, with at least 3+ years in enterprise- scale integration environments.
• Strong proficiency in integration platforms: Oracle SOA, SOACS, OIC, and MFT.
• Solid knowledge of communication protocols (FTP, SFTP, AS2) and data formats
• (XML, XML schemas).
• Experience in SDLC methodologies and project management within integration projects.
• Strong problem-solving, analytical, and troubleshooting skills.
• Familiarity with cloud integration services, API management platforms, and hybrid
• integration models is highly desirable.
• Proven ability to lead integration projects and mentor team members.

Responsibilities

• Translate functional requirements into technical design
• Interact with clients and internal stakeholders to understand the visulaisation and platform requirements in detail 
• Design, Develop and Deliver reusable components and front-end libraries
• Translate designs and wireframes into high quality code 
• Optimise components for maximum performance across a vast array of web-capable devices and browsers
• Work closely with QA team and ensure the application is bug-free

Candidate Requirements

• Strong knowledge for charts
• 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 (such as Flux or 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
• Experience with common front-end development tools such as Babel, Webpack, NPM, etc.
• Ability to understand business requirements and translate them into technical requirements
• A knack for benchmarking and optimisation
• Familiarity with code versioning tools (such as Git, SVN, and Mercurial)
• Good understanding of asynchronous request handling, partial page updates, and AJAX4Familiarity with browser testing and debugging

• Managing distributors and seller and improve the efficiencies in terms of both- retention (% active, D90 retention etc.) and transaction (% transacting, count and amount of transactions from different user cohorts) of newly acquired and existing base
• Designing promotional pricing schemes, subscription packs, communication plans and taking other tactical and strategic steps to increase transactions and engagement on the platform
• Working across departments(i.e. data science, CX, sales, marketing etc.) to deliver a superior experience for distributors and sellers
• Building the needed infrastructure and continuously innovating on ways to reach new and returning users through a variety of communication channels
• Partnering with product teams throughout the organization to leverage and influence existing internal growth and engagement technologies
• Conducting competitive analysis to understand industry trends for how to engage and convert users
• Working closely with product, marketing and data science to identify the right features essential for growth of business and engagement of users
• Measuring and assessing the impact of experiments, their business impact and sharing them with leadership

Desired Candidate Profile

• B.E./ B.Tech and/or MBA
• 7 to 8 years of total experience and 2 to 5 years of experience in handling sales, business development, city operations in an operations intensive role
• People management experience
• A proactive approach to problem solving with high focus on customer empathy    

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