Asst. Manager SOCIAL MEDIA

Roles and Responsibilities:

• Develop and implement HR strategies and initiatives aligned with the overall business strategy.
• Bridge management and employee relations by addressing demands, grievances, or other issues.
• Manage the recruitment and selection process.
• Support current and future business needs through the development, engagement, motivation, and preservation of human capital.
• Develop and monitor overall HR strategies, systems, tactics, and procedures across the organization.
• Nurture a positive working environment.
• Oversee and manage a performance appraisal system that drives high performance.
• Maintain pay plan and benefits program.
• Assess training needs to apply and monitor training programs.
• Report to management and provide decision support through HR metrics.
• Ensure legal compliance throughout human resource management.
• Proven working experience as HR Manager or other HR Executive
• Demonstrable experience with Human Resources metrics
• Knowledge of HR systems and databases
• Ability to architect strategy along with leadership skills
• Excellent active listening, negotiation, and presentation skills
• Competence to build and effectively manage interpersonal relationships at all levels of the company
• In-depth knowledge of labor law and HR best practices

Requirements:

• Proven working experience as HR Manager or other HR Executive
• People-oriented and results-driven
• Demonstrable experience with Human Resources metrics
• Knowledge of HR systems and databases
• Ability to architect strategy along with leadership skills
• Excellent active listening, negotiation, and presentation skills
• Competence to build and effectively manage interpersonal relationships at all levels of the company

Full stack developer (react, node js)

Full stack developer (react, node js)

Full stack developer (react, node js)

Full stack developer (react, node js)

He can develop independetly website.

Looking for the candidates who have a experience of sales, telesales and excel. Also client handling.

Plans and executes all web, SEO/SEM, database marketing, email, social media, and display advertising campaigns.

Designs, builds, and maintains our social media presence.

Measures and reports performance of all digital marketing campaigns and assesses against goals (ROI and KPIs).

Identifies trends and insights and optimizes spend and performance based on the insights.

Brainstorms new and creative growth strategies through digital marketing.

Plans, executes, and measures experiments and conversion tests.

Collaborates with internal teams to create landing pages and optimize user experience.

Utilizes strong analytical ability to evaluate end-to-end customer experience across multiple channels and customer touch points.

Identifies critical conversion points and drop off points and optimizes user funnels.

Collaborates with agencies and other vendor partners.

Evaluates emerging technologies.

Provides thought leadership and perspective for adoption where appropriate.

QA Manager (A) 

 ROLES AND RESPONSIBILITIES: 

·       Conducting manual and automated Mobile and Web testing that is well defined, planned, and executed 

·       Responsible for defining the automation framework (such as TestNG, BDD), creating the framework, and automating the test cases independently 

·       Has experience in GitLab for resource management and Jenkins for build creation and CI/CD 

·       Establishing automation QA strategy and best practices to support continuous development and integration 

·       Estimating, coordinating, directing testing for multiple products/projects 

·       Create clear, detailed, comprehensive, and well-structured test plans and automated test cases 

·       Perform and provide guidance/mentoring on API testing using SOAP UI or POSTMAN toolset 

·       Holding and facilitating automation and test case reviews with Agile team members 

·       Liaise with internal teams (e.g., developers and product managers) across multiple time zones to identify system requirements 

·       Stay up to date with new testing tools and test strategies 

Required Skills & Exp: 

·       8+ Years of Overall Experience in Software testing across different domains 

·       6+ years of automation experience in building and maintaining test automation frameworks within the Agile framework. 

·       Is well-versed with working in an agency environment with strong experience in Automation and Manual testing 

·       Has mandatory extensive exposure of testing Mobile Apps (iOS and Android) including relevant exposure of testing websites using Selenium (for web) and Appium (for mobiles) 

·       Strong knowledge of software QA methodologies, tools, and processes 

·       Has experience testing API’s and building automation test suites 

·       Experience in writing clear, concise, and comprehensive test plans and test cases 

·       Solid knowledge of SQL 

·       Experience working in an Agile/Scrum development process 

·       Experience with performance and/or security testing is a plus 

·       Excellent English, written, and verbal communication skills 

·       Effectively meet deadlines and troubleshoot issues while handling multiple priorities 

·       Strong problem solving and analytical skills with attention to detail 

·       Strong team player, willing to learn, and share experience/mentor with other team members and grow QA talent 

• Firmware Design and Development experience on different micro-controllers.
  
• C/C++ programming
  
• Linux Commands Operating System Concepts
  
• board bring up, embedded software, Kernel Build, Yocto
  
• Shell scripting Networking Concepts Openwrt OS Concepts
  
• Must have good Communication and Presentable skills.
  
• Experience on any Wifi, Bluetooth, GSM modules is a plus.
  
• Design, develop, code, test and debug system software.

We are looking for a highly skilled computer programmer who is comfortable with both front and back end programming. Full stack developers are responsible for developing and designing front end web architecture, ensuring the responsiveness of applications, and working alongside graphic designers for web design features, among other duties.

Full stack developers will be required to see out a project from conception to final product, requiring good organizational skills and attention to detail.

• Developing front end website architecture.
• Designing user interactions on web pages.
• Developing back-end website applications.
• Creating servers and databases for functionality.
• Ensuring cross-platform optimization for mobile phones.
• Ensuring responsiveness of applications.
• Working alongside graphic designers for web design features.
• Seeing through a project from conception to finished product.
• Designing and developing APIs.
• Meeting both technical and consumer needs.
• Staying abreast of developments in web applications and programming languages.

• Degree in computer science.
• Strong organizational and project management skills.
• Proficiency with fundamental front-end languages such as HTML, CSS, and JavaScript.
• Familiarity with JavaScript frameworks such as Angular JS, React, and Amber.
• Proficiency with server-side languages such as Python, Ruby, Java, PHP, and .Net.
• Familiarity with database technology such as MySQL, Oracle, and MongoDB.
• Excellent verbal communication skills.
• Good problem-solving skills.
• Attention to detail.
•  

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