QA Engineer

Responsibilities

Lead and manage a talented Engineering Team of 8+ members. Provide technical guidance and mentorship to team members and assist them in their career progression.

Set OKRs, progress checks and do performance evaluations. Manage the development pipeline to deliver features on schedule while maintaining high bar for quality.

Closely Interact with other functions such as PM, Design, UI/UX, Art, QA, and deliver planned features.

Perform Design reviews, Code reviews Create a solid Tech backlog that involves modernizing tech stack, set goals for performance improvements.

Establish Best Process and Development Practices and drive the centre of excellence for the teams. Updates with new technology trends and constantly evolve Facilitate and create problem-solving culture in the team.

Be obsessed about players and giving the best experience to our players.

Requirements

Master's or Bachelor's Degree in Computer Science, Engineering or equivalent.

Should have 8+ years of professional experience in mobile, development using C++, C#, PYTHON, GO Lang, Javascript.

Should have 2+ years of experience in managing teams, including hiring, mentoring and building strong teams.

Shown ability to motivate teams and operate effectively in a fast-paced, high-energy environment.

Exposure to using Agile and Scrum methodologies. Good communication skills, interpersonal skills with experience in building strong internal relationships.

Good Analytical, Problem-solving and Debugging skills.

Hands-on experience in Designing, Coding and release management. Desired Skills and Experience NET,C++,Golang,Java,JavaScript,Python,Quality Assurance,C#

Hiring business development executive who is ready to partner with corporates. Should have good communication skills.

• Back-end software development
• Software engineering and designing data models and write effective APIs
• Working together with engineers and product teams
• Understanding business use cases and requirements for different internal teams
• Maintenance of existing projects and New feature development
• Consume and integrate classifier/ ML snippets from Data science team

What we are looking for:

• 4+ years of industry experience with the Python and Django framework.
• Degree in Computer Science or related field
• Good analytical skills with strong fundamentals of data structures and algorithms
• Experience building backend services with hands-on experience through all stages of Agile software development life cycle.
• Ability to write optimized codes,debug programs, and integrate applications with third party tools by developing various APIs
• Experience with Databases (Relational and Non-Relational). Ex: Cassandra, MongoDB, Postgresql
• Experience with writing REST-APIs.
• Prototyping initial collection and leveraging existing tools and/or creating new tools
• Experience working different types of datasets (e.g. unstructured, semi-structured, with missing information)
• Ability to think critically and creatively in a dynamic environment, while picking up new tools and domain knowledge along the way
• A positive attitude, and a growth mindset

Bonus:

• Experience with relevant Python libraries such as Sklearn, NLTK, tensorflow, HuggingFace Transformers
• Hands on experience in Machine learning implementations
• Experience with Cloud infrastructure (e.g. AWS) and relevant microservices
• Good with Humor and Team player

Job Description

A business development executive will be  responsible for researching and pursuing new business leads for the growth of the business. The role involves active coordination across teams and demands exceptional interpersonal skills. The executive is expected to work on new business proposals which are a persuasive representation of an organization's services.

Responsibilities/Requirements

• Must have knowledge of online bidding for IT Projects (Bidding Tools: Freelancer, Upwork, Fiver, etc.)
• Proper knowledge of proposal writing.
• Candidates should have experience with client communication, Follow ups and Negotiation.
• Project Management experience will be a plus.
• Should have IT Background experience.

Key Skills

Bidding on Freelancer / Upwork / Fiverr, Proposal Making, Negotiation, Client Communication, Project Management

We are looking to hire an experienced angularJS developer to join our dynamic team. As a lead developer, you will be responsible for creating a top-level coding base using Angular best practices. Your role will require you to implement an exciting and streamlined user experience in the form of a Java-based desktop and mobile web app.

• Designing and developing user interfaces using angularJS best practices.
• Adapting interface for modern internet applications using the latest front-end technologies.
• Writing JavaScript, CSS, and HTML.
• Developing product analysis tasks.
• Making complex technical and design decisions for AngularJS projects.
• Developing application codes and unit tests in AngularJS, Java Technologies, and Rest Web Services.
• Conducting performance tests.
• Consulting with the design team.
• Ensuring high performance of applications and providing support. 
  

  Requirements:

  • Bachelor’s degree in computer science, computer engineering, or similar.
  • Previous work experience as an AngularJS developer.
  • Proficient in CSS, HTML, and writing cross-browser compatible code.
  • Experience using JavaScript building tools like Gulp or Grunt.
  • Knowledge of JavaScript MV-VM/MVC frameworks including AngluarJS.
  • Excellent project management skills.
  • Proven experience implementing back-end JavaScript applications.
  • Excellent communication skills.
  • Critical thinker and good problem-solver.

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

Your skills and experience should cover:

• Excellent programming skills using JavaScript or TypeScript

• 2+ years of relevant software engineering experience

• Proven Node.JS programming skills with knowledge on how to scale huge Node.JS setups

• Experience profiling and optimizing Node.JS applications

• API design and development best practices

• Restful web services, service-oriented architectures

• SQL and NoSQL expert

• Hands-on experience with developing automated tests

• Test-driven development (TDD)

• Experience with SCM systems like Git/SVN

• Experience in Agile software development and continuous Integration systems like Jenkins

The following areas are highly advantageous:

• Experience with Express and Knex

• Experience with Loopback (https://loopback.io/" target="_blank">https://loopback.io/ TypeScript framework)

• Experience/Interest with MySQL or PostgreSQL database