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

Users love Cutshort

Read about what our users have to say about finding their next opportunity on Cutshort.

Subodh Popalwar

Software Engineer, Memorres

For 2 years, I had trouble finding a company with good work culture and a role that will help me grow in my career. Soon after I started using Cutshort, I had access to information about the work culture, compensation and what each company was clearly offering.

Companies hiring on Cutshort

About Foghorn Systems

Founded :

2015

Type :

Product

Size :

100-500

Stage :

Raised funding

About

Real-Time Edge Intelligence for Industrial

Connect with the team

Abhishek Vijayvargia

Connect

Company social profiles

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People management/mentoring experience is required.

Key Account Manager

at Cherise India Pvt Ltd

1 video

1 recruiter

Posted by Vivek Vishwakarma

Pune, Mumbai, Hyderabad, Delhi

2 - 4 yrs

₹3L - ₹6L / yr

Model-View-View-Model (MVVM)

RxJava

iOS App Development

Key Account Manager Job Description

JOB DESCRIPTION (JD)

The following obligatory points are a standard part of every JD and each employee regardless of his/her designation is fully obliged to fully understand and comply with the below:

Unconditional compliance of the following policies:
Company Inner Regulations and Information Security Protocol (ISP).
Departmental Policy (DP) or Work Centre Area Policy (WCAP) – whichever and wherever applicable.
Guidelines to systems and documentation.

Detailed description of specific responsibilities:

B2B lead generation.
Arranging meetings and demos of our offerings to potential clients.
Deal closure.
Handling ground force (supermen) and ensure customer satisfaction in terms of services and operations after sales.
Coordinate with formulation and tech team to give them market feedback to help in improvement of our products and also manage demand and supply in market.
Handle customer queries and solve their problems.
Onboard new distributors on panel and handle business through them. Also handle existing distributors.
Manage all legal paper work related to sales and subscription of our products and services.
Collection of payments from all the clients and distributors handled.

Key Account Manager Job Description

JOB DESCRIPTION (JD)

The following obligatory points are a standard part of every JD and each employee regardless of his/her designation is fully obliged to fully understand and comply with the below:

Unconditional compliance of the following policies:
Company Inner Regulations and Information Security Protocol (ISP).
Departmental Policy (DP) or Work Centre Area Policy (WCAP) – whichever and wherever applicable.
Guidelines to systems and documentation.

Detailed description of specific responsibilities:

B2B lead generation.
Arranging meetings and demos of our offerings to potential clients.
Deal closure.
Handling ground force (supermen) and ensure customer satisfaction in terms of services and operations after sales.
Coordinate with formulation and tech team to give them market feedback to help in improvement of our products and also manage demand and supply in market.
Handle customer queries and solve their problems.
Onboard new distributors on panel and handle business through them. Also handle existing distributors.
Manage all legal paper work related to sales and subscription of our products and services.
Collection of payments from all the clients and distributors handled.

Fullstack Developer

at Wenger and Watson Inc

24 recruiters

Posted by SmritiNandish

Bengaluru (Bangalore)

1 - 6 yrs

₹5L - ₹30L / yr

Javascript

HTML/CSS

Fullstack Developer

NodeJS (Node.js)

React.js

+2 more

Responsibilities:

Design, develop, and maintain software applications.
Go the extra mile to identify customer needs and pain-points.
Relentless focus on delivering high quality, bug-free code.
Help and mentor those around you to achieve the team and company goals.
Closely work with the SRE and DevOps team to set up microservices infrastructure.
Maintaining and auditing code/design quality as per set guidelines and standards in assigned projects.
Testing of completed tasks in ongoing projects in the team before sending updates to reporting authority/client.
Participate in application design, code reviews and documentation.

Requirements:

Experience in agile development process.
Excellent knowledge of HTML5, CSS3.
Excellent knowledge of JavaScript.
Experience with cross-browser, cross-platform and design constraints on the web
Good understanding and experience of working on Vue.js/React.js.
Prior experience building REST APIs
Hands-on experience with Node.js/Golang/Java + Redis + Elasticsearch.
Experience with AWS/GCP is a plus
Knowledge of version control systems like GIT.
Experience in developing automated unit and functional tests
1+ years of experience with a Bachelor's in Computer Science or related field

Responsibilities:

Design, develop, and maintain software applications.
Go the extra mile to identify customer needs and pain-points.
Relentless focus on delivering high quality, bug-free code.
Help and mentor those around you to achieve the team and company goals.
Closely work with the SRE and DevOps team to set up microservices infrastructure.
Maintaining and auditing code/design quality as per set guidelines and standards in assigned projects.
Testing of completed tasks in ongoing projects in the team before sending updates to reporting authority/client.
Participate in application design, code reviews and documentation.

Requirements:

Experience in agile development process.
Excellent knowledge of HTML5, CSS3.
Excellent knowledge of JavaScript.
Experience with cross-browser, cross-platform and design constraints on the web
Good understanding and experience of working on Vue.js/React.js.
Prior experience building REST APIs
Hands-on experience with Node.js/Golang/Java + Redis + Elasticsearch.
Experience with AWS/GCP is a plus
Knowledge of version control systems like GIT.
Experience in developing automated unit and functional tests
1+ years of experience with a Bachelor's in Computer Science or related field

Frontend Developer

at Arrowbench Solutions Pvt Ltd

1 video

2 recruiters

Posted by Ashok S

Bengaluru (Bangalore)

2 - 5 yrs

₹3L - ₹5L / yr

Javascript

HTML/CSS

jQuery

AngularJS (1.x)

AJAX

+2 more

An ideal Front End Engineer would have 2+ years of experience in building highly scalable UI on the Web/Mobile Good understanding of how the web works and it's underlying communication protocols. Experience with broad range of UI frameworks, libraries and tools including AngularJS, JQuery, SASS etc. Experience in creating complex dashboards and charts working with huge data from backend. Good understanding of asynchronous request handling, partial page rendering, UI performance and security. Good in conceptualizing and coming up with UI designs. Should have good communication skills.

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