Hiring: Work-from-Home Telecaller (0-2 Years Experience) - SkillDeck

Peliqan is a fast-growing scaleup with offices in Bangalore and Belgium (Europe). Peliqan is a B2B Cloud SaaS data platform. More info: https://peliqan.io.

We are looking for a creative person to join our team in Bangalore.

You will be part of our marketing team and you will report to Peliqan's marketing manager. Your role will be to create and maintain graphical material as well as video's.

Main role:

• Create ads for social media
• Create graphical elements for the website (diagrams, screenshots etc.)
• Design collateral (brochures, whitepapers)
• Maintain slide templates in Google Side & Canva
• Edit demo recordings and turn into production-ready videos
• Create short explainer videos

Requirements:

• You have a compelling portfolio of designs
• Experience working for a B2B Tech SaaS company is a plus
• Experience with Adobe After Effects, Premiere Pro or similar
• Experience with Canva, Figma etc.
• You can showcase explainer videos that you have created

Responsibilities:

• Writing clean and efficient codes for Android applications
• Identifying and resolving bottlenecks, rectifying bugs, and enhancing application performance.
• Collaborating with cross-functional teams to define and design new features.
• Continuously discover, evaluate, and implement new technologies to maximize development efficiency.
• Ability to brainstorm and come up with solutions to open-ended problems.
• Ability to take ownership and drive initiatives end to end.
• Desire to learn and dive deep into new technologies on the job.
• Solid understanding of CS fundamentals-Operating Systems, Databases, and Data Structure.

Knowledge and Skills:

• Prior experience as an Android Developer using Java, Kotlin, Android SDK, Android NDK
• Proficient understanding of code versioning tools such as Git
• Familiarity with RESTful APIs to effectively integrate Android applications
• Solid understanding of the full mobile development life cycle.
• Passion for products and aspiration to make a big impact.
• Solid engineering principles and a clear understanding of data structures and algorithms.
• Expertise in implementation of custom UI components along with fabulous animations and write/understand Rest APIs
• Experience working with Google Maps, Geo-locations, Media permissions, etc.

• 1+ years of experience in any technology like VB.Net, ASP .Net etc.
• Currently working on live projects
• Problem solving skills
• Go getter attitude

The Technical Lead should be well versed with Node.js, React js, AWS, Microsoft Azure, flutter, scalable cloud architecture.

He/she will be working directly under the CEO and will act as both a technology and business expert, making decisions that will impact the current and future operations of the company. 

Responsibilities:

• Setting a vision for how technology will be used in the company.

• Ensuring that the tech team meets the company’s short and long term needs.

• Outline the goals for research and development. 

• Creating timelines for the development and deployment of all product requirements. 

• Acting as a mentor to the tech team members. 

• Maintaining a consumer-focused outlook and aiding in the delivery of new features.

• Managing technology budgets and time frames.

• Driving and planning sprints and ensuring a high tech team velocity.

• Staying on top of technology trends and developments.

• Ensuring all technology practices adhere to regulatory standards.

• Ensuring that there is no system downtime and all products are working seamless.

Requirements /Qualifications:

• Exceptional communication skills (both verbal and written). 

• Self-motivated with diligent work ethic, a business acumen, enthusiastic and passionate, exceptional team management skills. 

• Should be well versed with Node.js, React js, AWS, Microsoft Azure, flutter, scalable cloud architecture.

• Extensive industry knowledge with an eye towards the future.

• Proactive and efficient time management.

• Ability to delegate efficiently. 

• Should have managed and set up teams. 

• Process orientation.

• 5+ years of experience as an Engineering head.
  
  Salary will be based upon industries standard 

• Good Experience in C# and SQL Server.
• Strong knowledge of .NET web framework includes ASP.NET, ASP.NET MVC, .NET Core , Web API, ASPX, LINQ ,WCF, HTML, JavaScript, jQuery, AJAX and CSS.
• Experience with user interface design and prototyping.
• Experience in designing, developing, and deploying Web Service apps or Azure-hosted equivalents.
• Understanding of object-oriented and service-oriented application development techniques and theories.
• Experience with debugging, performance profiling and optimization.
• Experience with source control management systems and deployment environment.
• Familiarity with writing unit tests and micro services.
• Ability to take a project from start to finish with or without supervision.
• Azure Technologies Desired.
• Strong analytical and communication skills with both internal team members and external business stakeholders.

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