Data Scientist

at Foghorn Systems

Data Scientist

Foghorn Systems

Company

Home

Data Scientist

at Foghorn Systems

Posted by Abhishek Vijayvargia

0 - 7 yrs

₹15L - ₹50L / yr

Pune

Skills

R Programming

Python

Data Science

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

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

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.

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

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About Foghorn Systems

Founded :

2015

Type :

Product

Size :

100-500

Stage :

Raised funding

About

Real-Time Edge Intelligence for Industrial

Abhishek Vijayvargia

Connect

Company social profiles

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Write an alert mechanism that identifies catalogues with insufficient information and makes them non discoverable, which can run every day.
Work with Business Team to design a workflow for product inwarding using Airtable. Write a small app within Airtable so that whenever a product is updated as “shipped” in airtable, it updates the customer facing website.
Use an open source dashboarding framework to create a quick dashboard to track important business events.

UI Developer

at CloudPanel Technologies Pvt Ltd

2 recruiters

Posted by Sri Nilaya

Bengaluru (Bangalore)

2 - 5 yrs

₹4L - ₹8L / yr

React Native

React.js

HTML/CSS

jQuery

REACT JS Developer # Front end Developer # 3 to 5 years experience in relevant area Responsibilities # Developing new user-facing features using React.js # Building reusable components and front-end libraries for future use # Translating designs and wire frames into high quality code # Optimizing components for maximum performance across a vast array of web-capable devices and browsers Skills # Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model # Thorough understanding of React.js and its core principles # Experience with popular React.js workflows (such as Flux or Redux) # Experience with data structure libraries #Familiarity with RESTful APIs # Knowledge of modern authorization mechanisms, such as JSON Web Token # Familiarity with modern front-end build pipelines and tools # Experience with common front-end development tools # Ability to understand business requirements and translate them into technical requirements # Familiarity with code versioning tools

Software Architect/Solution Architect/CTO

at I2E Consulting Pvt. Ltd

1 video

3 recruiters

Posted by Ankita Wankhede

Remote, Mumbai

3 - 7 yrs

₹6L - ₹14L / yr

Java

Python

Javascript

Amazon Web Services (AWS)

Go Programming (Golang)

+2 more

Key Responsibilities:  Building /reviewing up solution based on the business requirement  Worked on Microsoft technologies.  Responsible for end to end document management where expected and provide standard and relevant client deliverable content  Works on enhancement and maintenance of interfaces  Defines specifications  Ensures good understanding of requirements by dev team  Support team during testing phases  Designs and maintains technical and support documentation  Strong organizational, presentation, and customer service skills.  Defines Specifications  Ensures understanding of functional specifications by development team  Assists in test strategy, plan & case definition  Supports users during UAT  Assists and ensures go live and transition to production  Participates in project meetings  Produces reporting  Interacts with all the team, onshore and offshore.

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