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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Dapi is a financial technology infrastructure provider that allows businesses to accept and initiate bank transfers at nearly zero fees. We work to remove intermediaries thereby allowing our customers to deliver alternative payment solutions to their end-users. We are building a new financial infrastructure that will enable every company to offer its own embedded financial services. Within one year of our launch, we have managed to attract investments from Y Combinator, Pioneer Fund, and other notable VC funds. Read more about us in TechCrunch and Crunchbase.

What you’ll do

You will have the opportunity to use our leading proprietary tools to web scrape and integrate banks into our system. You will be exposed to a fast-paced, collaborative, and diverse work environment where you will get to see the real-world impact you make right away. We’re a team that openly welcomes new ideas, you will have the opportunity to present your own ideas and work on them once approved by the team.

What’s required

We believe that with a certain coding background, hard skills required for the job can be learned. However, soft skills like drive, passion, and commitment to learning cannot. Therefore, we are keen on finding candidates with the following inclinations:

Tenacious and hardworking, with the ability to persistently work on a problem without losing sight of the end goal
Ability to work in a fast-paced, high pressure environment
Previous experience with TypeScript and Puppeteer is preferred
Previous experience with web scraping is preferred

About Dapi:

What you’ll do

What’s required

Tenacious and hardworking, with the ability to persistently work on a problem without losing sight of the end goal
Ability to work in a fast-paced, high pressure environment
Previous experience with TypeScript and Puppeteer is preferred
Previous experience with web scraping is preferred

Senior UI Engineer

Cloud Security Product Development Company

Agency job

via zyoin by Deepthi V

Bengaluru (Bangalore)

10 - 16 yrs

₹20L - ₹60L / yr

React.js

redux

Javascript

HTML/CSS

User Interface (UI) Development

+1 more

Minimum 10 years of relevant work experience in similar roles.
JavaScript and HTML/CSS UI development experience with React and Redux.
Solid experience with displaying charts, reports and graph data structures.
Solid experience using REST APIs and GraphQL
Comfortable with building UIs from mockups.
Outstanding collaboration and communication skills. Ability to effectively collaborate with distributed team.
Understand and practice agile development methodology.
Prior experience working in a software product company.

Minimum 10 years of relevant work experience in similar roles.
JavaScript and HTML/CSS UI development experience with React and Redux.
Solid experience with displaying charts, reports and graph data structures.
Solid experience using REST APIs and GraphQL
Comfortable with building UIs from mockups.
Outstanding collaboration and communication skills. Ability to effectively collaborate with distributed team.
Understand and practice agile development methodology.
Prior experience working in a software product company.

General Manager - Business Development - IIT/IIM/MDI

at BookEventz

1 recruiter

Posted by Kunal Gupta

Mumbai

2 - 5 yrs

₹12L - ₹20L / yr

Business Development

Sales

Event Management

Event planning

Customer Support

+3 more

BookEventz.com is a one-stop solution to book complete event package online which includes venue, caterer, themes and ancillary services (DJs, artists, photographers, et al). It helps corporates/individuals to handpick venues and other services that are best matched as per their needs and users to find ideal places for board meetings, conferences and special occasions like wedding, reception and birthday party.Looking for an entrepreneur who wants to build and manage a unit within Bookeventz.com. Bookeventz is India's leading Event Booking platform. Present in 11 cities with 5000+ vendors on-board and have served over 50,000 customers. We are looking for go-getters, who are passionate about what they do and who likes building businesses from scratch. Task is to Set-up Event Planning and Execution Vertical for the Company which is poised to execute highest number of events in the Country.KRAs - Set up Event Planning and Execution Vertical and ensure we have 100% Customer Satisfaction.It will involve setting up 3 teams and driving them :1. Supply side team - Selecting and Contracting Vendors who will work under Bookeventz banner2 Customer Service team who will understand customer's requirement and flow of events, suggest them relevant options and cross sell all services required3. Operations team - who will cordinate and execute the events seamlessly- Good Leadership quality, Great Execution capabilities, Very Process Oriented and Great Negotiation skills, We are looking for someone who resonates with these qualities.- Come be a part of the team that is re-defining the Event Booking Experience!

Fullstack Developer

at Betterhalfai

5 recruiters

Posted by Pramal Tekade

Bengaluru (Bangalore)

1 - 4 yrs

₹5L - ₹15L / yr

Python

Django

Javascript

MongoDB

React Native

We are looking for a Full Stack developer who will take a key product development role for http://betterhalf.ai/ What is the company about? We're building world's largest AI based partner prediction engine based on the past data of millions of married couples. This invention unique in its way in partner search industry has potential to offer a useful and valuable product for 500M globally. More information We’re a U.S based company with the operational centre based out of Bangalore, India. We’re currently a 8-member team and expected to grow to the size of 100 over the next few years. Why you should reach out? If you’re interested in the product and deliver on humongous responsibility to build a globally successful company (globally 500M people including 60M Indians) with the continuous thrill of ups and downs of startup, feel free to reach us. Job Description/ Responsibilities As Full stack developer, you’ll be involved in implementing both the backend and frontend for new and existing product features. You may be leading a talented, collaborative team who is very passionate about solving this massive problem. Below is a list of several skills required to deliver on responsibilities for the Engineering manager role: Skills Required React Native for Mobile development (Preferred) Expertise with web fundamentals like HTML, JavaScript, and CSS, Bootstrap React.js, Node.js, Angular.js, Polymer API design and development CRUD (Create, Read, Update, Delete) RESTful Services Advanced in Python/Django Advanced of database technologies like MySQL/MongoDB is required. Advanced in web server technologies like Nginx, HAproxy. Experience with AWS - cloudfront, S3, EC2, RDS, Route53 would be preferred. Technical soundness on ML/AI would be a great plus. Someone who have lead small Engineering team in a startup earlier or have headed engineering team would be a great fit for this role. Compensation: Cash and stocks for U.S company (to be discussed on case to case basis) Candidates please apply/email at engineering@betterhalf.ai or rahul@betterhalf.ai