Field Sales Executive

Responsibilities:

• Delivering projects on time based on roadmap requirements
• Overriding technical architecture of the product
• Managing the Development Team including workloads, setting and managing targets, mentoring and training members of the team
• Writing technical specifications and managing projects through to completion
• Implementing and reviewing all development processes (coding standards, code review, code complexity)
• Identifying and resolving issues within the product
• Implementing and managing suitable monitoring systems for production platforms
• Monitoring costs across the AWS platform

Requirements:

• Be highly experienced in the following technologies: Java, Node Js, Typescript, React, SQL
• Show preferable experience in Android development, Kotlin, Mongo DB, MQTT
• Demonstrate fluent English speaking, reading, writing
• Excellent communication skills
• Have previous AWS Cloud experience
• Have experience in leading a Development Team, mentoring and training colleagues
• Demonstrate experience in managing projects through an agile environment, ideally Jira or Azure Devops

Full Time @ Anywhere in India

3+ years

• Architecting and implementing the solutions we build
• Working with the team, client and project manager to efficiently deliver projects
• Translating business needs to technical solutions and communicating with the client
• Ensuring that good programming practices are followed
• Supporting other engineers’ growth with your expertise and mentorship
• Taking part in internal initiatives such as performance reviews, technical recruitment, estimation of pre-sale projects

• Ideally 2 years of commercial experience using Node.js

• 3 years of experience using JavaScript (ES2015+)
• Comfortable with DRY & SOLID principles in your own code
• Experience in writing tests using Mocha/Chai/Jest
• Experience with Express.js
• Experience with version control systems, preferably Git
• Hands-on experience with Unix/Linux environment
• Understanding of non-relational/relational databases

• Experience with Angular 2+ and React JS
• Experience with AWS or GCP infrastructure
• Curiosity about new languages, libraries, frameworks
• Contributions to open-source projects

• Passionate about making an impact
• Self-driven & eager to learn new technologies
• Intellectually curious, interested to build complex systems
• Thrive in a highly independent, remote-first environment
• Keen to work with a globally diverse team

• Hybrid Work Option - Step out when you “want to” not when you “have to”
• Work from the comfort of your home or work at the office
• Support for setting up Home-office
• Flexible Work Hours -Work-life balance becomes a lot easier to maintain with the flexibility to plan your work hours 
• Flexible Leave policies
• Life needs a break - casual, parental, sick, or just random. To help you enjoy your leaves without guilt or excuses, we have a ‘no approval needed’ policy
• Health and Wellness - Constant encouragement to stay fit
• We encourage and support our team members to participate in memberships that promote team member health (physical, emotional, and psychological) and fitness
• Reimbursements for medical support
• Career ladder: the freedom to design your own path
• Well defined career ladders to grow, assess and explore your professional journey
• Learning opportunities
• In house learning platforms to partner with you in your growth story
• Wide range of courses and certifications

Fieldproxy is looking for a passionate Customer Success specialist. We are on a pace to grow 3x in size this year with our customer success team. This is an exciting opportunity for someone who is looking to uplift their Customer Success career in a rapidly growing SaaS start-up.

Key responsibilities:

• Establishing customer engagement activities like onboarding and product implementation constantly while meeting the business metrics
• Increase product adoption and customer retention rate

What we look for:

• 2+ years of experience, preferably in a SaaS organization with at least 6+ months of domain expertise in Customer Success
• Excellent presentation skills and writing skills
• Ability to make a quick decision in a lean team
• Strong communication skill is not expected as it is kept as a default checklist
• Experience with a SaaS product would be preferred
• Work exceptionally with the cross-functional teams(product, sales, pre-sales, marketing, developers, etc.)
• Proactive in establishing deeper customer relationships
• Minimize the churn rate and maximize the revenue by constantly creating opportunities for upselling
• Familiar with the CRM tools preferred

What we provide in return:

• Competitive salary
• Opportunity to work in a fast-moving, high growth SaaS company
• Company-paid Health insurance
• A great learning experience with high paced growth opportunities
• Hybrid and friendly work culture with always ready to help attitude colleagues

About the Company

Our client is one of the leading TMT bar manufacturer and exporter in India. It is a well known group that achieves a turn over of 3000 Cr per annum. The group is setting a construction & architecture oriented omni channel B2B & B2C platform.

Job Description

Experience : 3-5Years

Requirement

• 3+ years of backend/full-stack development experience
• Proficient knowledge of a back-end programming language i.e Node.Js
• Experience with AWS services,Mongo DB
• Experience with RabbitMQ or similar queuing system
• Experience with Redis/ElasticSearch/PHP is a plus
• Familiarity with CI/CD pipeline tools like Jenkins
• Experience in handling a team
• Good at Design patterns, Algorithms, and Data structures.
• Have outstanding leadership skills, excellent people/communication, and negotiation skills
• Good knowledge of working with Git 

• User authentication and authorization between multiple systems, servers, and

           environments.

• Integration of multiple data sources and databases into one system

           Management of the hosting environment, including database administration

           and scaling an application to support load changes

.

Regards
Team Merito

• 8+ years of relevant work experience
• Well-versed in data structures, algorithms, and software design. Programming experience with at least one of
• Java or Python and object-oriented design
• Knowledge on SQL, NoSQL databases, Messaging/Caching technologies and AW deployments is a plus
• Exposure to the architecture and design (design patterns, security, reliability and scaling) of new and current systems. Experience in building highly scalable business applications, which involve implementing large complex business flows involving multiple third-party integrations
• Prior startup experience is a plus

We have an urgent opening for a SHOPIFY APP DEVELOPER with 2 to 3 years of Experience, for Day Shift working. Having hands-on experience with customizing Shopify templates and fully functional Shopify websites.

Responsibilities and Duties

Job Description:
- Understanding of various design patterns and custom Shopify app.
- 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 app.
- Shopify App Development would be an advantage.
Organizational Skills :
- Must be very organized, punctual, and detail-oriented
- Fast learner & interested in new technologies
- The ability to remain cool under pressure.
Key Skills:
SHOPIFY/HTML5, CSS3, JavaScript/jQuery/AJAX.

Job brief

We are looking for a Full Stack Developer to produce scalable software solutions. Youll be part of a cross-functional team thats responsible for the full software development life cycle, from conception to deployment.

As a Full Stack Developer, you should be comfortable around both front-end and back-end coding languages, development frameworks and third-party libraries. You should also be a team player with a knack for visual design and utility.

Responsibilities

• Work with development team and product managers to ideate software solutions.
• Design client-side and server-side architecture.
• Build the front-end of applications through appealing visual design.
• Develop and manage well-functioning databases and applications.
• Write effective APIs.
• Test software to ensure responsiveness and efficiency.
• Troubleshoot, debug and upgrade software.
• Create security and data protection settings.
• Build features and applications with a mobile responsive design in mind.
• Write technical documentation.

Requirements

• B.E./B.Tech. in Computer Science or a degree in Computer Science background.
• Experience as a Full Stack Developer or similar role (1-2 years)
• Knowledge of multiple front-end languages and libraries (e.g. HTML/ CSS, JavaScript, jQuery)
• Knowledge of back-end languages and JavaScript frameworks (e.g. React and Node.js)
• Familiarity with MongoDB, web servers, and UI/UX design.
• Excellent communication and teamwork skills.
• Great attention to detail.
• Organizational skills.
• An analytical mind.
• Knowledge of Cloud Platforms like AWS or GCP.

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