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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Attention to detail and a commitment to excellence.
Your up-to-date portfolio speaks for itself. Must have a portfolio featuring examples of work, your design process, and outcomes/results.
Degree in Design, Human-Computer Interaction (HCI), or related field of study.
3+ years of relevant work experience in UX/UI, mobile design, interaction design, and visual design.
Demonstrated experience with end-to-end (hybrid UX and UI) product design.
Strong knowledge & relevant experience of design tools like Figma, Principle, Framer, • Sketch, InVision, Adobe Creative Suite, HTML, CSS.
Strong written and verbal communication skills.
Excellent self-management skills.
Previous experience at a startup or in-house creative team, a plus

Back-end Developer

at Hood

2 recruiters

Posted by Jasveer Singh

Gurugram

3 - 5 yrs

₹1L - ₹15L / yr

Java

Python

Ruby

Ruby on Rails (ROR)

Go Programming (Golang)

+5 more

Hood is a new-age anonymous social network.

Hood has recently raised $3.2Mn seed funding and is backed by top VCs, 16+ unicorn founders including Vijay Shekhar Sharma - PayTM CEO, Ritesh Agarwal- OYO CEO, Kunal Shah - Cred CEO and outstanding management team.

Role & Responsibilities

Execute full lifecycle software development
Architect and conceptualize the product from initiation
Program well-designed, testable, efficient code Develop flowcharts, layouts, and documentation to identify requirements and solutions
Integrate software components into a fully functional software system

Qualifications: -

Bachelor's degree in Computer Science, Software Engineering or a related technical discipline.
2-4 years of experience in software design and development.
Strong coding skills (JavaScript/Typescript, Node.js).
Strong database design (MySQL/DynamoDB) and query writing skills with a commitment to performance and efficiency.
Working knowledge of RESTful API paradigms.
Experience building distributed domain-driven microservices.
Strong understanding of database and storage fundamentals.
Experience with AWS stack.
Computer Science fundamentals in object-oriented design, data structures, algorithm design, problem-solving, and complexity analysis.
Knowledge of React.js is a plus.
Startup experience is a plus.

What you can expect from us

1.Learning Budget: If there's a workshop, book, or event you think will help you learn, we'll cover your bill.

2.Health insurance for you and your family.

What happens after you apply?

Step 1: Within 7 days of your application our wholesome, original & expressive - our People Team will reach out to you for a quick chat.

Step 2: Within 4-6 days of chatting with the People Team, you will get a call from someone from your future team to discuss the job role.

Step 3: If all goes well, we’ll schedule a call with your future manager to deep dive into the role with you and for you to show off your skills through a small task.

Step 4: After a quick interaction with the People Team, If our vibes match, a quick call with our Founders.

If we mutually enjoy the 4 steps, we onboard you with a big smile :)

NOTE

At any step, if things don't work out, we will proactively send out an email. You are welcome to

ask for detailed feedback and re-apply in the future.

We prefer [Passion>Skills>Education]

Hood is a new-age anonymous social network.

Role & Responsibilities

Execute full lifecycle software development
Architect and conceptualize the product from initiation
Program well-designed, testable, efficient code Develop flowcharts, layouts, and documentation to identify requirements and solutions
Integrate software components into a fully functional software system

Qualifications: -

Bachelor's degree in Computer Science, Software Engineering or a related technical discipline.
2-4 years of experience in software design and development.
Strong coding skills (JavaScript/Typescript, Node.js).
Strong database design (MySQL/DynamoDB) and query writing skills with a commitment to performance and efficiency.
Working knowledge of RESTful API paradigms.
Experience building distributed domain-driven microservices.
Strong understanding of database and storage fundamentals.
Experience with AWS stack.
Computer Science fundamentals in object-oriented design, data structures, algorithm design, problem-solving, and complexity analysis.
Knowledge of React.js is a plus.
Startup experience is a plus.

What you can expect from us

1.Learning Budget: If there's a workshop, book, or event you think will help you learn, we'll cover your bill.

2.Health insurance for you and your family.

What happens after you apply?

Step 1: Within 7 days of your application our wholesome, original & expressive - our People Team will reach out to you for a quick chat.

Step 2: Within 4-6 days of chatting with the People Team, you will get a call from someone from your future team to discuss the job role.

Step 3: If all goes well, we’ll schedule a call with your future manager to deep dive into the role with you and for you to show off your skills through a small task.

Step 4: After a quick interaction with the People Team, If our vibes match, a quick call with our Founders.

If we mutually enjoy the 4 steps, we onboard you with a big smile :)

NOTE

At any step, if things don't work out, we will proactively send out an email. You are welcome to

ask for detailed feedback and re-apply in the future.

We prefer [Passion>Skills>Education]

Sr. Developer / Architect - Founded by ex Google ex Amazon engineers

at BinaryFolks Pvt Ltd

2 recruiters

Posted by Jyotirmay Samanta

Remote only

1 - 20 yrs

₹4L - ₹15L / yr

Javascript

Laravel

Details Here :
https://www.binaryfolks.com/career/technical-architect
http://www.binaryfolks.com/career/developer-sr-developer" target="_blank">http://www.binaryfolks.com/career/developer-sr-developer

DEVELOPER: INR 4,00,000 - INR 8,00,000 PER ANNUM

SR. DEVELOPER: INR 5,00,000 - INR 12,00,000 PER ANNUM

TECHNICAL ARCHITECT: INR 9,00,000 - INR 20,00,000 PER ANNUM

SR. TECHNICAL ARCHITECT: INR 14,00,000 - INR 30,00,000 PER ANNUM

DEVELOPER: INR 4,00,000 - INR 8,00,000 PER ANNUM

SR. DEVELOPER: INR 5,00,000 - INR 12,00,000 PER ANNUM

TECHNICAL ARCHITECT: INR 9,00,000 - INR 20,00,000 PER ANNUM

SR. TECHNICAL ARCHITECT: INR 14,00,000 - INR 30,00,000 PER ANNUM

Inside Sales Manager

at Intellipaat

6 recruiters

Posted by Deepika S

Bengaluru (Bangalore)

0 - 5 yrs

₹2.5L - ₹5.4L / yr

Inside Sales

Business Development

Client Servicing

Sales

This is an urgent requirement of Inside Sales Manager with our reputed E-Learning industry for Bangalore location, Eligible candidates must have a good experience in Inside Sales + hands on experience in Calling. Should be comfortable with Immediate Joining

About Us
Intellipaat is the leading online education provider and creates courses in collaboration with top MNCs and universities such as IBM, Microsoft, E&ICT, IIT Guwahati, etc., with more than 600,000 learners and 200+ corporates across 53+ countries learning on our platform.

Inside Sales Manager (B2C Sales): Work From Office

Responsibilities Include:
• Conversion of leads received through various marketing channels
• Preparing short-term and long-term sales plan towards reaching the assigned goals
• Consistently achieve revenue targets in line with team/organizational objectives
• Proactively identifying cross-selling/up-selling opportunities with existingcustomers
• Identifying references through the existing customer base to increase the salespipeline
• Customer Relationship Management
• New account development
• Managing pre-sales to post-sales support activities for the assigned
• Follow up on leads and conduct research to identify potential prospects.
• Consistently achieve revenue targets in line with team/organizational objectives.
• Customer Relationship Management
• To understand customer requirements in the geography assigned and future product portfolio improvement based on past customer feedback.

Skills Preferred:
• Excellent spoken and verbal skills
• Ability to plan and execute
• Ability to persuade and negotiate
• Ability to work under stress
• Ability to work in a team
• Fast-learner, keen on details, and self-motivated
Experience: Fresher and Experience
Compensation: For these first 4 months, they will be getting 25,000 INR as a salary. After the successful completion of 4 months 32,000 INR( Fixed salary) + 10,000 INR (Incentive) + 50,000 (Annual Bonus) Total CTC 5,54,000 INR