US Bench Sales

Location: Mumbai or Remote

Duration: 3 to 6 months

About the Role

Websites.co.in is looking for a Full Stack Developer Intern to support our engineering team across backend and frontend development. You will work on real product features and fixes across our website builder platform used by small businesses globally. This role is designed for learners who want practical full stack exposure.

You will mainly assist, build small modules, fix bugs, and improve existing features under guidance.

What You Will Do

• Assist in building and updating features using basic PHP and Laravel
• Work on simple database queries and data handling
• Help create and modify REST API endpoints
• Build and improve basic responsive UI using HTML, CSS, and JavaScript
• Connect frontend pages with backend APIs using AJAX and JSON
• Fix minor bugs across frontend and backend code
• Support simple third party API integrations
• Use Git for basic version control tasks
• Learn and work with existing codebase and modules

Required Skills

• Basic knowledge of PHP and any MVC framework preferred
• Basic understanding of Laravel concepts is a plus
• Basic knowledge of HTML, CSS, and JavaScript
• Basic understanding of databases like MySQL
• Familiar with REST API basics
• Exposure to Git
• Has done at least one academic or personal web project
• Willingness to learn and take feedback

Perks

• Real product development exposure
• Mentored learning environment
• Fast skill growth
• PPO opportunity based on performance

• Strong Full Stack Software Developer Profile
• Mandatory (Experience) – Must have 4+ years of industry experience in full stack development with strong expertise in modern web applications using Node.JS and React.JS Node
• Mandatory (Skills 1) – Must have strong experience in Node.js with hands-on experience in NestJS framework
• Mandatory (Skills 2) – Must have knowledge of React and modern React patterns
• Mandatory (Skills 3) – Strong Experience with database schemas, and RESTful API design, Prisma ORM etc

Preferred

• Preferred (Skills) – Familiarity with frontend tools like Mantine UI, Vite, TanStack Router, Zustand, and Tailwind CSS.

The Field Sales Executive is responsible for generating leads, Connecting with potential clients,

and Fixing meetings to meet the company's revenue targets. This role requires a self-motivated,

target-driven individual with excellent interpersonal skills and the ability to build and maintain

strong relationships with customers. The Field Sales Executive will work primarily in the field,

visiting clients, fixing meetings

Required skills:-

2+ years of experience in the Development of JAVA technology.

Strong Java Basics

SpringBoot or Spring MVC

Hands-on experience on Relational Databases (SQL query or Hibernate) + Mongo (JSON parsing)

Proficient in REST API development

Messaging Queue (RabitMQ or Kafka)

Microservices

Any Caching Mechanism

Good at problem-solving

Good to Have Skills:

2+ years of experience in using Java/J2EE tech stacks

Good understanding of data structures and algorithms.

Excellent analytical and problem solving skills.

Ability to work in a fast-paced internet start-up environment.

Experience in technical mentorship/coaching is highly desirable.

Understanding of AI/ML algorithms is a plus.

Desired Candidate Profile

• Excellent communication and negotiation skills
• Pleasing personality
• Good coordination skills
• Self motivated with high energy level

Product Development

At E2open, you will be an integral member of a dynamic organization, working on cutting-edge technology that transforms the way companies do business with their trading partners in complex, multi-tier supply chains. Currently, E2open is seeking an energetic Application Engineer to join our Research & Development Group. This position involves the development of leading-edge Software-as-a-Service (SaaS) supply chain management applications that drive complex multi-company supply chain management dashboards, workflows, and business-to-business supply chain data interchanges.

Technical Requirements

• Strong experience in Core Java 8 and above, Collections and Data structures.
• Develop solutions using core java, Spring / Spring Boot, JSON, Rest API and other web technologies.
• Ability to design and develop UIs like Javascript, HTML5, Angular and end to end integration.
• Object oriented analysis and design using common design patterns.
• Enforcing and Writing code following good standards (well documented with good code coverage and properly tested code).
• Excellent knowledge of Relational Databases, SQL and ORM technologies (Hibernate and Mybatis). Ability to model & design databases for high availability and high volume.

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