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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learners point
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"Learners Point" refers to several different educational and training institutions, so it's important to clarify which one you're interested in. Here's a breakdown of some prominent ones:
1. Learners Point Academy (Dubai, UAE & India)
- Overview: This is a well-recognized, ISO 9001:2015 certified institute that has been providing corporate and individual training in the MENA region since 2001. They are KHDA-accredited in Dubai and have expanded to India (Bangalore and Kozhikode).
- Mission: To empower individuals and organizations with skills for success in a rapidly changing world through transformative learning experiences.
- Courses Offered: They offer a wide range of certified courses across various domains, including:
- IT: Data Science, AI, Machine Learning, Cybersecurity, UI/UX, Web Development, ERPs (SAP), Microsoft Power Platforms.
- Finance: Certified Management Accountant (CMA), Financial Modeling, IFRS.
- Management & HR: Certified HR Manager (CHRM), Strategic HR Management, Project Management (PMP), Leadership Skills, Business Administration.
- Logistics and Supply Chain: CIPS accreditations.
- Sales and Marketing: Digital Marketing, Social Media Marketing.
- Soft Skills: Communication, Public Speaking, Emotional Intelligence.
- Language Training: Spoken English, Arabic, French, German, Russian.
- Key Features:
- Customized training solutions for individuals and corporates.
- Experienced and qualified trainers.
- Focus on practical, career-oriented skills.
- Accreditations from recognized bodies like KHDA, CPD UK, HRCI, and CIPS.
- Locations:
- Dubai, UAE: Suite 610 - 6th Floor, The Business Center, Opp to Burjuman Centre, Adjacent to Burjuman Metro Station Exit 4, Khalid Bin Walid Street.
- Bangalore, India: No. 460/454, 3rd Floor, HSR Layout, 5th Sector, Teachers Colony, Sarjapura Ring Road, Bangalore, Karnataka.
- Kozhikode, India: 2nd Floor, Agni Arcade, Kodamalikunn Medical College, Thondayad, Kozhikode, Kerala.
- Reviews: Generally positive reviews highlight responsive staff, helpful instructors, and well-organized course material, with many students successfully clearing certifications.
2. Learning Point Foundation (Bangalore, India)
- Overview: This is a foundation primarily focused on providing education and support to underprivileged individuals in Bangalore's slum areas, including dropouts and women.
- Mission: To make education accessible to all, empower individuals and communities to break the cycle of poverty, and build a bright future.
- Key Initiatives:
- Educating underprivileged communities.
- Encouraging dropout students (offering NIOS system for 10th and 12th standard).
- Empowering women.
- Supporting Huffaz & Aalims with modern education and skills.
- Youth education.
- Counselling and aid.
- Location: No. 2/1, 1st Cross, Masjid Street, BSA Road, Bengaluru, Karnataka 560005.
- Reviews: Positive reviews commend their initiative in educating economically deprived youth and providing a supportive learning environment.
3. Learners Point Commerce Academy (LPCA) (Gurgaon, India)
- Overview: This academy specializes in providing coaching for commerce students, including Class XI, XII (CBSE & ICSE), and professional courses like CA (CPT, IPCC, Final), CS, and ICWA.
- Key Features:
- Result-oriented approach with a focus on practical application.
- Specialized and experienced faculty.
- Comprehensive study material.
- Small batch sizes for personalized attention.
- Location: Block – C, 1306-1307, Lower Ground Floor, Sushant Lok-1, Gurgaon- 122002, Haryana, Delhi NCR, India.
4. The Learning Point (India - various locations/focuses)
- There are also other entities named "The Learning Point" or similar, which might focus on specific areas like:
- NEET/JEE Coaching: Some "Learning Point" institutes offer coaching for competitive exams like NEET and JEE in India.
- Programming/IT Training: Another "Learners Point" in Siliguri, West Bengal, focuses on programming courses (Java, Python, Web Designing, Android App Development, etc.).
- CAD Training: A "Learners Point" in Coimbatore, Tamil Nadu, specializes in CAD training (AutoCAD, Solidworks, 3ds Max, Catia).
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