Business Analyst

Sholinganallur location: (Videocon D2H Process) (60 Open positions)

Process: Videocon D2H

Inbound voice process-Tamil

Should be flexible for rotational shifts

Male/Female candidates

Qualification: +2 Pass & above

Should reside near Sholinganallur locations Immediate joiners only

CTC: 11000/Fixed (No ESI & PF)

Address:

Tek Meadows Campus

Rajiv Gandhi Salai, Chennai, Tamil Nadu 600119.

Opp Accenture & Near Dollar Bus Stop

• Candidate must have knowledge in the testing domain and must have knowledge of testing of web-based applications.
• The candidate will be responsible for the testing of web-based applications.
  The candidate will also act as the Business Analyst for the project. 
  The eye-catching ability to find bugs from a client’s perspective.
• Exposure to Automation Testing using Testing Tools such as (Selenium Web driver, TestNG, jmeter or similar tools) will be an added advantage.
• Good understanding of software development life cycle.
• Familiar with Database testing; good reporting & documenting skills.
• Good analytical skills with Out of the box thinking and can do attitude.
• Should be flexible and adaptable 
• Good Problem-solving and Troubleshooting skill
• Will be responsible for creating Test cases and creating Client & Internal Reporting. 

• Making systems more efficient, more reliable and more secure
• Communicating across internal and external organizations

What you need to have:

• Minimum 12 years of experience
• Experience in IT Infra, IT Ops, Hardware and network connectivity
• Knowledge on VM ware, AWS cloud
• Experience in Monitoring tools
• Working knowledge on Unix /Linux
• Experience in security, network and compliance frameworks
• Hands-on experience with VMware, AWS Cloud/Multi Cloud, infrastructure automation and monitoring tools
• Understanding of security, risk and compliance frameworks, disaster recovery, high availability architectures, hardware, operating systems and networking connectivity 

At Qsignage, we are looking for a person who is highly passionate about technology and automation with a focus on value-driven deliverables, wants to work, learn and expand their capability into the start-up domain.

This role is a great fit for someone who enjoys technology, project management, process improvement, and fast pace environment. 

Apply to the link below and get in touch with us now!

SKILLS REQUIRED (Full Stack Developer)

• A person should have sense of ownership, hold accountability for the task allocated with a data-driven and result-driven attitude
• Have Knack over the bigger picture while building the technology with a keen eye over the minute details
• Must be experienced in HTML/CSS coding and should be confidently utilized server-side languages (Java-script, Node.js, Python, Ruby, and PHP)
• In the ability to take existing models and best practices and adapt them to our environment
• Must know agile Tools and cloud technology with frontend/backend integration
• Must know multiple systems, servers, environments, data sources, data analytics, and database management

ROLES AND RESPONSIBILITIES

• Work with development teams and product managers to ideate software and application-based solutions
• Participate in both the back-end and front-end of systems by developing a full-fledged platform from scratch to end
• Write clean, functional code and algorithms on backend and frontend 
• Troubleshoot, test, debug and upgrade software
• Manage and maintain end-to-end life cycle for the production of software and application

BENEFITS

Remote Work | Flexibility | Flat Structure | Entrepreneurial Culture

The high degree of value on Autonomy, Flexibility, Empathy, and Mobility

An awesome work culture that has an agile team with a growth mindset

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