MERN Stack Developer

Requirements:

• 4-6 years of experience in developing Enterprise Web Applications using Java/J2EE technologies with a good professional track record.
• Excellent knowledge in Core Java (J2SE) and J2EE technologies.
• Proficient knowledge in Servlets, JDBC & JSP.
• Good knowledge of Spring framework (MVC, Cloud, Data and Security. Etc) and ORM framework like JPA/Hibernate.
• Strong knowledge of Exception Handling, Collections, File I/O Streams, Interfaces, and logging mechanisms is a must.
• Experience in developing REST APIs and integration of third-party APIs.
• Proficient knowledge in SQL/PLSQL.
• Expertise in application/web server deployment and connection pooling techniques.
• Cloud deployment (AWS & Azure) will be an added advantage.
• Experience in Version Control tools like Git, Bitbucket, etc.
• Experience in data security and protocols is a must.
• Maven and IDE tools experience is a must.
• Multi-threading and serialization techniques knowledge is a must.
• Good understanding of end-to-end software development lifecycle.
• Ability to read and understand requirements and design documents.
• Good Analytical skills and should be self-driven. Good communication with interpersonal skills.
• Open to learning new technologies and domains.
• A good team player and ready to take up new challenges
• Languages: Java(J2SE), J2EE (Servlets, JSPs, JDBC)
• Databases: MySQL, Oracle, SQL Server, PostgreSQL.
• DB Script: SQL and PL/SQL
• Frameworks: Spring, Spring Boot, Jersey, Hibernate and JPA
• OS: Windows, Linux/Unix.
• Cloud Services: AWS and Azure (Good to have)
• Version Control tools: Git, Bitbucket.
• Deployment Servers: Tomcat, JBoss, and Web sphere
• Build Tools: Gradle/Maven

Django Python framework

PostgreSQL database

• Coordinating with development teams to find out the needs of the application.
• Using the Python programming language to create scalable code.
• Application testing and bug fixing.
• Creating the back-end elements.
• Utilising server-side logic to incorporate user-facing components.
• Integrating storage methods for data.
• Design and implementation of high-performance, low-latency applications.
• Working in concert with front-end programmers.
• Upgrading the functionality of current databases.
• Creating digital technologies to track online activity.

1. Conducting research to find new ways to reach target audiences through social media channels, email campaigns, content creation, etc.
2. Developing strategies for increasing awareness of a brand or product through strategic partnerships with other companies
3. Proposing new initiatives to attract prospects and convert leads as well as testing new approaches to capture existing demand
4. Providing inputs & expertise to drive efficacy of marketing activities (content development and optimization, advertising, etc.)
5. Planning and executing initiatives to reach the target audience through different channels
6. Analyzing data to determine what types of content resonate with target audiences and what types of content do not

Description:

We are looking for an organized, detail-oriented individual to join our team as a software product manager. The responsibilities of the software project manager include overseeing software projects from start to finish, managing and motivating software developers and other team members, giving customer presentations, and writing project proposals.

To be successful as a software project manager, you should have a good working knowledge of project estimation techniques and the ability to motivate team members. Ultimately, a top-notch software Product manager should have good communication and decision-making skills.

Responsibilities:

1.Discussing potential projects and their parameters with clients, executives, and software developers.

2.Planning out the blueprints for software projects, including defining the scope, allocating resources, setting deadlines, laying out communication strategies, and indicating tests and maintenance.

3.Assembling and leading the project team.

4.Participating in and supervising each stage of the project.

5.Ensuring each project stays on schedule and adheres to the deadlines.

6.Creating a project budget and ensuring the project adheres to the budget as closely as possible.

7.Determining and overseeing consistent testing, evaluation, and troubleshooting of all products in all stages of completion.

8.Tracking milestones, deliverables, and change requests.

9.Serving as a liaison to communicate information regarding changes, milestones reached, and other pertinent information.

10.Delivering completed software products to clients and performing regular checks on the products' performance.

11.Software Project Manager Requirements

12.A bachelor's degree in information technology, software development management, software engineering, computer science, or a related field.

13.Proven experience in project management and software development.

14.Good working knowledge of project estimation techniques.

15.Excellent technical knowledge.

16.Good leadership, decision-making, and organization skills.

17.Strong attention to detail and multi-tasking skills.

Qualification:

1. Minimum ten (10) years of total work experience in software development
2. Good technical proficiency with PHP, Laravel, Javascript technologies and its related framework
3. Strong knowledge on AWS
4. Experience in Data collection, management and analysis
5. Experience in MYSQL/Maria DB
6. Knowledge in SaaS architecture

About us: Nexopay helps transforming digital payments and enabling instant financing for parents, across schools and colleges world-wide.

Responsibilities:

• Work with stakeholders throughout the organisation and across entities to identify opportunities for leveraging internal and external data to drive business impact
• Mine and analyze data to improve and optimise performance, capture meaningful insights and turn them into business advantages
• Assess the effectiveness and accuracy of new data sources and data gathering techniques
• Develop custom data models and algorithms to apply to data sets
• Use predictive modeling to predict outcomes and identify key drivers
• Coordinate with different functional teams to implement models and monitor outcomes
• Develop processes and tools to monitor and analyze model performance and data accuracy

Requirements:

• Experience in solving business problem using descriptive analytics, statistical modelling / machine learning
• 2+ years of strong working knowledge of SQL language
• Experience with visualization tools e. g., Tableau, Power BI
• Working knowledge on handling analytical projects end to end using industry standard tools (e. g., R, Python)
• Strong presentation and communication skills
• Experience in education sector is a plus
• Fluency in English

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