Business Development Associate-US

We are looking for a female Personal Assistant to support General Manager in daily administrative and operational task to join our client at Ahmedabad location.The candidate must be willing to travel between Ahmedabad and Udaipur locations. The ideal candidate should have prior experience in document handling, scheduling, communication management, and office administration.

Key Responsibilities:

• Provide administrative and secretarial support to the General Manager.
• Handle and organize important documents, correspondence, and confidential files.
• Manage schedules, appointments, meetings, and travel arrangements.
• Prepare reports, presentations, and meeting notes as required.
• Coordinate with internal departments for smooth office operations.
• Maintain an organized filing system (digital and physical).
• Handle phone calls, emails, and other communications on behalf of the GM.
• Assist in planning and execution of official events and meetings.

Requirements

• Bachelor’s degree in Business Administration in the hotel or hospitality sector or a related field.
• 3–5 years of experience as a Personal Assistant, Executive Assistant, or Administrative Officer.
• Strong organizational and multitasking abilities.
• Proficiency in MS Office (Word, Excel, PowerPoint) and email correspondence.
• Excellent written and verbal communication skills.
• Ability to handle sensitive information with integrity and discretion.
• Smart personality, confident, and well-groomed.
• Should be comfortable to travel between Ahmedabad and Udaipur locations.

Benefits

• Competitive salary (₹30,000 – ₹40,000 per month).
• Professional and respectful work environment.
• Opportunity to work closely with senior leadership

• Job Location: Ahmedabad, India

Experience 8+ Yrs.

Bangalore work from office

1. Full-time undergraduate degree or above in computer and related majors

2. More than 8+ years of iOS development experience, proficient in OC/Swift language

3. Have good architecture and interface design capabilities, understand object-oriented design and design patterns, and be able to implement reusable components with high quality

4. Familiar with performance optimization, familiar with Frameworks-related core libraries, multi-threading, data storage, network communication and other underlying principles

5. Have strong analytical and problem-solving abilities, quick learning ability, stress resistance, communication and collaboration skills

6. Applicants with experience in large-scale first-line Internet product development will be given priority

7. Applicants with development experience in large-scale project performance optimization, engineering efficiency optimization, cross-platform solutions, etc. will be given priority

8. Be familiar with one or more third-party source codes. You need to be familiar with and understand the design patterns and runtime source codes.

Note: Kindly apply only if your open to Work from Office Bangalore and available to join immediate to 10 days.

Interested candidates connect @Bhavani P on the LinkedIn or message your number/ id on the cut short chat.

REQUIRED EXPERIENCE AND SKILLS:

Experience:

3-9 Years of experience into C#, .Net & WPF(mandatory).

Technology skills:

Mandatory

 Strong background in Software Development/Engineering

 Good experience of the n-Tier architectures with REST web services (WebAPI would be a plus).

 Hands on experience with .NET 4.5, C#, WPF with MVVM or PRISM and WebAPI or WCF

 Should have worked on SQL Server

 Worked on LINQ and Entity Framework

 Sound Knowledge of SOA Principles.

 Experience with Agile/Scrum Organization.

 Experience with ATDD / TDD (Fitnesse for the ATDD would be a plus)

 Experience with Continuous Integration environments (TeamCity would be a plus)

 Experience with TFS as a source code repository and as a Scrum tool.

 Excellent communication skills with fluent English.

Preferred

 Knowledge on UML, design patterns, design principles such as SOLID / DRY and best coding practices.

 Proven ability and interest in building new application feature which interacts with existing application and infrastructure.

Methodology skills

 Test Driven Development

 Agile-Scrum

 Domain Driven Design

Skills

• Have published at least one original React JS Application.
• Experience with third-party libraries and APIs
• Knowledge of REACT tools including React.js, Webpack, Enzyme, Redux, and Flux.

Roles 

Should be able to single-handedly build performant mobile apps on the React JS platform. You will be responsible for architecting and building these applications, as well as coordinating with the teams responsible for other layers of the product infrastructure. Building a product is a highly collaborative effort, and as such, a strong team player with a commitment to perfection is required.

Responsibilities 

• Build pixel-perfect, buttery smooth UIs across web platforms.
• Leverage APIs for deep integrations with web platforms.
• Diagnose and fix bugs and performance bottlenecks for performance that feels native.
• Writing application interface codes using JavaScript following react.js workflows.
• Maintain code and write automated tests to ensure the product is of the highest quality.
• Developing and implementing front-end architecture to support user interface concepts.
• Monitoring and improving front-end performance.

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