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About the job

o  Candidate will be in leading role to thoroughly understand client requirements and expedite functional and technical design for the overall planning solution; lead team of experienced and novice to deliver solutions meeting client expectations. 

o  Candidate must be well versed with Feedstock ranking (Indifference), Rolling Plans, Back-casting, configuration selection and plant debottlenecking studies, update of multi-period, multi-plant linear programming models. 

o  Candidate should have worked in Refinery and Petrochemical companies (in Production Planning, Technical Services division) and /or delivered Planning solution to Oil and Gas clients in consulting assignments. 

o  Candidate should have knowledge of refinery / petrochemicals plant configurations, their economics, blending operations, yield accounting, crude blending, product distribution, crude arrival sequencing.

Key Responsibilities would include: 

1. Design, develop, and maintain enterprise-level Java applications. 

2. Collaborate with cross-functional teams to gather and analyze requirements, and implement solutions. 

3. Develop & customize the application using HTML5, CSS, and jQuery to create dynamic and responsive user interfaces. 

4. Integrate with relational databases (RDBMS) to manage and retrieve data efficiently. 

5. Write clean, maintainable, and efficient code following best practices and coding standards. 

6. Participate in code reviews, debugging, and testing to ensure high-quality deliverables. 

7. Troubleshoot and resolve issues in existing applications and systems. 

Qualification requirement - 

1. 4 years of hands-on experience in Java / J2ee development, preferably with enterprise-level projects.

2. Spring Framework including - SOA, AoP and Spring security 

3. Proficiency in web technologies including HTML5, CSS, jQuery, and JavaScript.

4. Experience with RESTful APIs and web services.

5. Knowledge of build tools like Maven or Gradle

6. Strong knowledge of relational databases (e.g., MySQL, PostgreSQL, Oracle) and experience with SQL.

7. Experience with version control systems like Git.

8. Understanding of software development lifecycle (SDLC) 

9. Strong problem-solving skills and attention to details.

We're hiring an experienced SAP IBP Consultant with 6+ years of expertise in Demand and Supply Planning. The ideal candidate should have strong skills in key figure modeling, time series planning, and integration with S/4HANA or ECC. Prior experience with planning operators, forecast models, and Excel Add-in is required.

Develop, record and maintain cutting edge web-based J2EE, JAVA applications.

Experience on Java Spring Framework is required.

Experience on Hibernate is required.
Experience on REST Services is required.

Object-oriented programming, design, and patterns.

Strong proficiency with:Relational database concepts and data modeling.
Good communication skills to interact with customer, understand their requirement, effectively record the requirement and implement the same. 

Microsoft Azure Data Integration Engineer

Job Description: 

Microsoft Azure Data Integration Developer who will design and build cutting-edge user experiences for our client’s consumer-facing desktop application. The Senior Software Developer will work closely with product owners, UX designers, front-end, and back-end developers to help build the next-generation platform. 

Key Skills:

• 3+ years of experience in an enterprise or consumer software development environment using C# and designing and supporting Azure environments
• Expert level programming skills in creating MVC and Microservices architecture
• Experience with modern frameworks and design patterns like .Net core
• Strong knowledge of C# language
• Hands-on experience using the Azure administration portal and iPaaS
• Demonstrable experience deploying enterprise workloads to Azure
• Hands-on experience in Azure function apps, app service, logic apps and storage, Azure Key vault integration, and Azure Sql database.
• Solid understanding of object-oriented programming.
• Experience developing user interfaces and customizing UI controls/components

·      Microsoft Azure Certification, Business Continuity, or Disaster Recovery planning experience is a plus

Responsibilities:

• Architect, design & build a modern web application for consumers
• Explore configuring hybrid connectivity between on-premises environments and Azure, and how to monitor network performance to comply with service-level agreements.
• Collaborate with UI/UX teams to deliver high-performing and easy-to-use applications
• Participate in code reviews with staff as necessary to ensure a high-quality, performant product
• Develop a deep understanding of client goals and objectives, and articulate how your solutions address their needs
• Unit testing/test-driven development
• Integration testing
• Deploying Azure VMs (Windows Server) in a highly available environment
• Regularly reviewing existing systems and making recommendations for improvements.
• Maintenance
• Post-deployment production support and troubleshooting

Technical Expertise and Familiarity:

• Cloud Technologies: Azure, iPaaS
• Microsoft: .NET Core, ASP.NET, MVC, C#
• Frameworks/Technologies: MVC, Microservices, Web Services, REST API, Java Script, JQuery, CSS, Testing Frameworks
• IDEs: Visual Studio, VS Code
• Databases: MS SQL Server, Azure SQL
• Familiarity with Agile software development methodologies.
• Advanced knowledge of using Git source control system.
• Azure, AWS, and GCP certifications preferred.

We are looking for Senior Backend Engineers to design and build the systems that power our core business of lending and loan processing.  As a Senior Backend Engineer you will be expected to contribute significantly to your team. Your work is consistently of high quality. You solve complex problems, applying appropriate technologies, design patterns, and best practices. Your focus is on a major portion of existing or new team software. You work with your team to design and build software that is secure, correct, observable, and resilient. Your solutions are pragmatic. You identify the proper level of complexity for a task and advise your peers and manager on technical approach.

What you’ll do

• Design, implement, and maintain developer-friendly APIs and services

• Contribute to code and architecture reviews to keep our code quality high
• Debug and resolve production issues; take part in blameless postmortems
• Plan and execute smooth migrations to new technology as a way of managing technical debt
• Build tools and automation for our business and operations teams
• Make decisions on trade offs such as: Reuse versus introducing dependencies; Extensibility versus over-engineering; and Maintainability versus time to delivery (via short-term workarounds)
• Contribute to the improvement of your team’s code review standards, design discussions, team planning, and AARs.

You may shine in this role if you

• Have a track record of shipping software in a distributed systems environment

• Are enthusiastic about collaborating across departments to solve challenging problems
• Are pragmatic about the need to release less-than-perfect software and continuously iterate on it
• Can identify and articulate trade-offs in software and data design
• Can communicate both technical and business requirements fluently
• Are excited about both learning new things and teaching others

We speak mainly in javascript and golang, though we are open to engineers with different backgrounds and languages

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