Senior SysOps Engineer

Looking for a Project Manager who will be a cornerstone of our project execution. Your organisational skills and attention to detail will be pivotal in coordinating between our SEO, content, and PR teams. This role calls for you to establish your own project milestones, demonstrate excellent team coordination, and possess the ability to manage pressure effectively.

Roles and Responsibilities:

• Plan and execute projects across multiple departments, including content creation, link building, and SEO analysis.
• Create and maintain simple yet effective project timelines, ensuring timely task completion across the team.
• Quickly identify and resolve project bottlenecks, reallocating resources as needed.
• Identify areas of workflow automation to facilitate project execution.
• Liaise between the SEO specialists, digital PR team, and content writers to ensure cohesive execution of projects.
• Monitor key performance indicators like task completion rates and deadlines met.

Experience and Skills you MUST have:

• 2-4 years of experience in project management, ideally in a fast-paced startup or digital marketing environment.
• Familiarity with basic project management tools like Linear and Notion.
• Strong communication skills to facilitate team collaboration.
• Ability to manage multiple projects concurrently while maintaining quality and meeting deadlines.

Corporate sales manager Bangalore location

Receiving, handling and converting Meetings, Events and Group enquiries.

Planning events in conjunction with the client.

Presenting and Selling available and suitable banquet / event options to the highest possible standard.

Contact Meeting Planner by mail, telephone, customer outings and site inspections.

Ensure the complete administration and execution of all planned events.

Negotiate space, dates and rates to obtain booking goal while focusing on shoulder and off season business.

Identify need periods and undertake comprehensive program of sales activity to secure new and adhoc business minimizing the impact of low activity periods.

Assist in development and solicitation of Banquet and event package plans and aimed at conference business and encourage repeat business.

Attend trade and travel shows of various market area for promoting hotels event business.

Actively manage business bookings, record denials, make network referrals.

Make commercial decisions to maximize MICE income on a daily basis.

Continue professional development through educational offering made via industry trade groups and educational institutions.

Encouraging repeat business through excellent customer service and inquiry handling.

Build strong relationships with customers to fully understand their needs.

Ensure online meeting partner websites are regularly updated and managed including photos, descriptions, and promotions.

Each month review the next 6 months availability to highlight high or low demand dates and take steps to minimize the risk of any shortfall or overbooking.

Ensuring all inquiries are recorded accurately in the Event Enquiry application (Opera S&M, Delphi, Protel Banquet, MICE software etc.).

Bring in direct guests though online marketing and advertising.

Helping the hotel to identify new avenues of business and bring in more banquet events to the hotel.

Assist in the preparation and monitoring of sales, department and budgetary reports as and when required.

Other duties and tasks assigned by the management within the job scope.

iOS Developer responsibilities include: 
Designing and building advanced applications for the iOS platform Collaborating with cross-functional teams to define, design, and ship new features. Unit-testing code for robustness, including edge cases, usability, and general reliability. Job brief We are looking for an iOS developer who possesses a passion for pushing mobile technologies to the limits and will work with our team of talented engineers to design and build the next generation of our mobile applications.

Responsibilities

Design and build advanced applications for the iOS platform Collaborate with cross-functional teams to define, design, and ship new features. Unit-test code for robustness, including edge cases, usability, and general reliability. Work on bug fixing and improving application performance. Continuously discover, evaluate, and implement new technologies to maximize development efficiency.

Requirements 
MCA / BE /B.Tech Computer Science / IT Proven working experience in software development Working experience in iOS development. Have published one or more iOS apps in the app store A deep familiarity with Objective-C, Swift and Cocoa Touch Experience working git.

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