Associate Employer Branding

About UpSolve:

We built and deliver complex Al solutions which help

drive business decisions faster and more accurately. We

are a typical Al company and have a range of solutions

developed on Video, Image and Text.

About Role:

Interact with business leaders to understand

requirements.

Manage client onboarding and solution deployment.

Keep track of commitments and ensure in-time

delivery

Organize and execute regional channel partner

connects and propose networking events with them

Develop and execute outreach strategy for targeted

real estate channel partner firms for the relationship

management

Network with key contacts within the related industries

to expand the contact base

About You:

Minimum C1 English level

Proven experience managing teams

Ability to work in a dynamic and fast changed

environment

A metrics driven mindset with a strong

t wl a stong analytical

approach

Strong customer references

Experience building organisations and training top

talent

Strong communication and interpersonal skills to build

sustainable relationships

Location: Mumbai

• Create/modify scripts using a scripting language such as Perl and the Bitbucket REST API to disable users who have not logged in within a certain timeframe, and to monitor user project/repo permissions based on last commit date/time.
• Every 3 months, run the Jenkins jobs to reprovision the Bitbucket test servers, verify Bitbucket functions properly, then plan and execute the reprovisioning of the production Bitbucket servers
• Every 2 years, plan, install and deploy the latest Bitbucket version in our test environment, updating the Terraform code and Artifactory as required. Upgrade all plugins, test thoroughly, and work with various development teams to have them test as well. Once testing is complete and sign-off has been achieved, plan and run the Jenkins jobs to deploy the latest version of Bitbucket to the production servers.
• Create scripts using a scripting language such as Perl and the Confluence and/or Atlassian Access REST API to disable users who have not logged in within a given amount of time
• Good to have knowledge on BigPicture, EasyBI, Report2Web

Critical Skills to Possess:

• 5+ years of experience in JIRA administration and Bitbucket 
• Experience in Jira, Bitbucket application upgrade on data center.
• Experience re-provisioning of Bitbucket using Jenkins.
• Excellent in Groovy, Java scripting and Perl.
• Experience in SSO implementation on Atlassian tool
• Experience in Atlassian and third part application integration.
• Strong problem solving and analytical skills to solve problems at their root.
• Excellent time management and prioritization of tasks

Must have: ATLASSIAN PTY LTD Ver 7.17.0, Atlassian Cloud, ATLASSIAN PTY LTD Ver 8.6.1 Perl/Python, VB Script, Bitbucket REST API, Bitbucket SSH API, JQL

Good to have: Tomcat, Git, SourceTree, Linux, Terraform, Azure AD SSO, Oracle DB

Preferred Qualifications:

BS degree in Computer Science or Engineering or equivalent experience

Roles & Responsibilities

Roles and Responsibility:

1. Upgrade & Maintenance Expertise

• Proven experience upgrading Jira and Bitbucket (Server or Data Center):
• Integration with Jira and webhook/API-based automation
• Perform pre-upgrade tests and staging environment setup
• Apply patches, hotfixes, and troubleshoot upgrade failures.
• YAML configuration for builds, tests, deploys.

2. System Administration

• Proficiency with Linux/Unix OS (file systems, services, shell scripting)
• Manage file permissions, processes, and system logs
• Deep understanding of project configurations (schemes, workflows, screens, custom fields)
• Advanced Jira workflow design (including conditions, validators, post-functions)
• Automation using Groovy scripting 

3. Network Config, Authentication & Security

• Manage SSL certificates, custom domains, and HTTPS configurations
• Integration with LDAP / Active Directory and troubleshooting of SAML SSO (Okta, Azure AD, etc.)

4. CI/CD Pipelines (Bitbucket Pipelines):

• Running pipeline for the OS remediation

• Meet contractual requirements for advertising campaigns with a high degree of accuracy 
• Serve as a point of contact between advertisers and internal departments to ensure all client needs are met 
• Gather client design requirements and work with in-house designers/outside vendors to ensure all creative needs are met  
• Implement and schedule advertisement campaigns for a range of clients across a wide variety of industries and digital media platforms.
• Coordination with the fleet, printing & mounting team to ensure that the artwork is pasted as per the order guidelines
• Manage the launch of new custom units to ensure the success of campaign and revenue goals 
• Analyse ad campaign reports and provide recommendations to sales representatives/clients 
• Drive the Operations, Implementation & Client servicing unit end to end
• You will be responsible for the post-sales implementation of the car branding on the site
• Coordination with the fleet agency to ensure that the required fleet is available in the requested city.
• Implement business reviews of campaigns and address preset metrics for success 
• Onboarding new vendors for fleet, printing and mounting teams.

Job Description:

We are looking for enthusiastic and confident freshers to join our IT Sales team. This role involves learning about cybersecurity solutions, conducting product demos, interacting with potential clients, and supporting sales growth.

Key Responsibilities:

• Assist in identifying sales opportunities
• Conduct product demonstrations with guidance
• Engage with clients to understand their needs
• Support the sales team in daily operations

We are looking for highly motivated Systems Engineers/Systems Administrators (Certified CCNA). The position requires strong technical and communication skills.

As a Systems Engineer, you will be working on the latest products like Windows 11, Windows Server 2022, Microsoft 365, Microsoft Fabric, Azure Databricks, Azure Networking, Hyper V, Spark, SQL Server 2022, Chrome OS, Data Warehousing etc.

Responsibilities:

Deploying, automating, maintaining AWS / Azure-based cloud resources

Evaluate new technology options and vendor products

Develop and maintain custom SharePoint Online pages

Complete certifications and training on the latest technologies

Perform SharePoint Online administrative functions

Develop and maintain PowerShell scripts for regular task automation

Monitor systems, networks, and functions

Identify and document common recovery procedures for service impacting incidents 

Establish and follow a ROB (Rhythm of Business) to ensure that all break/fix issues are resolved promptly or escalated to the appropriate group

Develop, communicate and drive Service Improvement Plans to maintain an environment of continuous improvement with a focus on rapid growth, world-class quality, and cost-efficacy

Drive operational aspects of incident management, ensuring SLAs for time, quality, and customer satisfaction are met for our global infrastructure

Manage customer interaction with the utmost professionalism, courtesy, and responsiveness

Responsible for monitoring, data collection, and configuration management, as well as disaster recovery planning, capacity engineering, reliability improvement initiatives, and platform automation

Candidate Profile:

Male Candidates Only

B.E./ B. Tech. in Computer Science /Information Technology or MCA  from a reputed university with a minimum 60% aggregate throughout their education

Skills and Abilities:

Excellent communication skills (spoken and written English)

Ability to work in rotational shifts

High-level technical troubleshooting ability Customer orientation

Ability to multitask and work 6 days a week (54 hours per week at a minimum)

Excellent problem resolution, judgment, and decision-making skills

Knowledge about Azure

Knowledge of Power Apps, Microsoft Teams, Microsoft Power Automate

Experience: 1-3 years of proven work experience as a Technical Support Engineer

Role and responsibilities

·      Collect requirements, design, develop and test software code.

·      Fix bugs and provide production support.

·      Prioritize multiple tasks and manage time effectively.

·      Learn new technologies outside his/her primary skills.

·      Develop solutions to challenging problems.

·      Effectively communicate with team members, project managers and clients, as required.

Technical skills requirements

The candidate must demonstrate proficiency in,

·      SQL, PL-SQL & RICE Components.

·      Develop applications, reports and interfaces using standard Oracle development methodologies.

·      BI Publisher, RDF/XML & Discoverer Reports.

·      Form Personalizations.

·      Unit test the reports with standard E-Business suite application.

·      Performance Tuning & Optimization.

·      Table-level technical knowledge of OM, Inventory Management, Purchasing, GL, AR, AP, and FA.

·      SQL Developer, TOAD, SQL Loader

Nice-to-have skills

·         SQL Tuning

·         EBS Finance/SCM functional knowledge

·         Performance Improvements and External Integrations

·         Ability to develop applications and modules keeping scalability and performance in mind.

What you need to have:

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