Foghorn Systems
http://www.foghorn.ioAbout
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R Programming
Python
Data ScienceRole 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
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We’re Hiring Humans, not Ninjas 😇
Disclaimer: Only for serious folks. Work that challenges, excites, scares you and lets you go to bed satisfied!
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- Senior Reactjs Developer (4+ years)
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Note: In case you don't see a role that you’d fit in, but would love to be a part of the team at some point, we’d love to stay connected. Send us your details at [email protected]
Who we are:
F22 Labs was started in 2014 by Murtuza and Hari, 2 childhood friends who always dreamt of starting a business of their own. After working at leading startups initially in their careers, they decided to take the plunge.
Over the last 7 years, we’ve been fortunate and blessed to have worked with 250+ entrepreneurs, who have trusted us with their dream of building their startups. Some of them include Hollywood celebrities like BJ Novak and Fortune 500s like Pizza Hut Inc.
Some of our products have gone on to be used, loved and have received investment from Charlie Cheever(Cofounder of Quora), Snoop Dog(does he even need an introduction?), Evan Williams (Cofounder of Twitter) and have been nominated for awards like the Webbys.
F22 Labs has won the Top 10 Software development company awards from highly respected Clutch.co for multiple years.
One cool thing about working at F22 Labs is you can never be bored. We’re working on various products cutting across different industries like: HealthCare, Non Profits, Entertainment, B2B SaaS, Ecommerce, Fashion, Sports, Travel, Fintech, Marketplaces, EdTech, LegalTech, IOT.
We have presented our products at international conventions like WebSummit Lisbon, RiseConf HongKong, Collision Conf New Orleans, Pizza Expo Las Vegas
What we do:
We build beautiful, robust and scalable web and mobile applications for idea stage founders and growth stage startups based out of USA, Canada, Mexico, Middle East, India, Nigeria, South Africa, Singapore etc.
Our Core Values:
- Honesty & Transparency: Speak your mind and do what feels right.
- Empathy: Be kind. Listen Intently. Trust by default.
- Stay Hungry, Stay Foolish: Have childlike curiosity and hunger to learn.
- Hustle Hard: Do more with less.
- Teach, don’t preach: Knowledge grows when shared.
Perks:
- State of the Art gadgets
- Complete Health coverage for you and your family
- Flexible work timings
- Top-notch Healthcare
- Care & Appreciation
- Flexible Schedules
- Supercharged Learning
- TechTalks Sessions
- Amazing Office Indoor Games
- Cool & Fun Working Enviornment
- Accommodation & Meal for Relocation
Our Hiring process:
- A Profile Review: Resume, Portfolios, personal websites, Github, anything else you want to share with us.
- A Technical task that relates to the work you will be doing
- A Final round of interview
- An Offer and onboard you are!
Know more about us @F22Labs:
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