UI Developer

Job Title : Lead – Endpoint Security & Tooling

Experience : 7+ Years

Location : Sector 32, Gurgaon

Work Mode : 5 Days Working (On-site/Hybrid)

Notice Period : Immediate to 15–20 Days

Role Overview :

We are looking for a skilled professional to Lead endpoint security operations, tooling, and architecture.

The role involves managing tools like Intune and Zscaler, developing secure endpoint policies, performing risk assessments, and driving continuous improvements in endpoint protection.

Mandatory Skills :

Microsoft Intune, Zscaler (ZIA/ZPA), EDR tools, Application Control, risk assessment, endpoint policy design, and strong knowledge of endpoint security architecture.

Key Responsibilities :

• Manage and optimize endpoint security tools (Zscaler, Intune, EDR, Application Control).
• Configure, maintain, and troubleshoot endpoint security infrastructure.
• Lead policy development, risk assessment, and architecture design for secure endpoints.
• Collaborate with IT and security teams to align tools and practices with compliance.
• Stay updated with evolving security threats, tools, and standards.

Preferred Certifications :

CISSP, CEH, CESP (optional)

Job Title: Purchase Manager

Location: Navi Mumbai

Experience Required: 4–7 Years

Responsibilities

 Identify, evaluate, and onboard reliable vendors and suppliers for laminates,

veneers, raw materials and hardware.

 Oversee end-to-end purchase operations, from sourcing to delivery and documentation.

 Negotiate pricing, terms, and contracts to ensure cost efficiency and quality standards.

 Coordinate sampling, approvals, and testing of laminate sheets before bulk procurement.

 Ensure timely delivery of materials as per production schedules and project timelines.

 Maintain updated records of purchases, pricing, vendor performance, and inventory levels.

 Collaborate with production and design teams to forecast material requirements.

 Track and monitor market trends, new materials, and innovative suppliers.

 Develop and maintain strong relationships with suppliers to ensure reliability and long-term partnerships.

 Implement cost control measures and evaluate alternate sourcing options.

Key Skills & Requirements

 Bachelor’s degree or diploma in Supply Chain, Procurement, Business

Administration, or related field.

 4–7 years of experience in purchasing or procurement, preferably in laminate, wood, or manufacturing industries.

 Strong knowledge of lamination sheets, veneers, and hardware procurement.

 Excellent negotiation and vendor management skills.

 Strong time management and ability to work under tight production deadlines.

 Proficiency in MS Excel, ERP systems, and documentation processes. Good communication, analytical, and problem-solving abilities.

 Ability to coordinate effectively across departments and ensure procurement

efficiency.

About the organization:

Bhanzu is a Math EdTech company which has recently raised a Series B round led by Epiq Capital with participation from Z3 partners and existing investors and is rapidly scaling across geographies with online live classes and games.

About the Founder & CEO - Neelakantha Bhanu

Neelakantha Bhanu Prakash is the world's fastest human calculator and India’s mental math Olympic Gold Medalist. Alongside holding four world records and 50 Limca book records, Mr. Bhanu is also a TEDx speaker and educator. He believes that the skill he has been gifted with can be passed on and taught using the right methodology and initiates in the same direction. Giving his vision of completely eradicating Math phobia a head start, Mr. Bhanu has led numerous projects for developing Arithmetic skills in students across the globe.

He has addressed audiences across 23 countries at the Commonwealth Conclaves, Future city Summits, ISB, IITs, and Multiple other global institutions and meets about the importance of Arithmetic learning in the overall development of a child.

Website:-  https://www.bhanzu.com/

Role: Marketing Intern (WFO)

Location: Bangalore, HSR Layout.

Key Responsibilities:

1.  Collect, organize, and maintain data for marketing activities.
2.  Ensure accuracy and timely updates of information and projects
3.  Conduct market research and competitor analysis.
4.  Provide insights and recommendations based on findings.
5.  Assist in preparing detailed reports for ongoing activities.

Requirements:

1.  Currently pursuing or recently completed a degree in Marketing, Business, or related fields.
2.  Strong organizational and multitasking skills.
3.  Proficiency in MS Office/Google Workspace.
4.  Analytical mindset with attention to detail.
5.  Excellent communication and interpersonal skills.

Note: A Pre-Placement Offer (PPO) will be provided based on performance.

• 0 to 3 years of experience (or equivalent understanding of data analysis & operations)
• Strong critical thinking mindset and willingness to do whatever it takes to complete the job
• Strong communication skills in English
• Familiarity with Microsoft Excel, Google Spreadsheets or equivalent tool (VLOOKUPS, formulas, macros)
• Willingness and interest in learning new tech/processes (Python, Jupyter, Airflow, etc.)

This role represents 3 vacancies. Willingness and commitment to learn is most important.

No pre-existing Python or other data science language experience required.

Job Responsibilities: 

• Identify valuable data sources and automate collection processes 
• Undertake preprocessing of structured and unstructured data. 
• Analyze large amounts of information to discover trends and patterns 
• Helping develop reports and analysis. 
• Present information using data visualization techniques. 

• Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems. 
• Evaluating changes and updates to source production systems. 
• Develop, implement, and maintain leading-edge analytic systems, taking complicated problems and building simple frameworks 
• Providing technical expertise in data storage structures, data mining, and data cleansing. 
• Propose solutions and strategies to business challenges 

Desired Skills and Experience: 

• At least 1 year of experience in Data Analysis 
• Complete understanding of Operations Research, Data Modelling, ML, and AI concepts. 

• Knowledge of Python is mandatory, familiarity with MySQL, SQL, Scala, Java or C++ is an asset 
• Experience using visualization tools (e.g. Jupyter Notebook) and data frameworks (e.g. Hadoop) 
• Analytical mind and business acumen 
• Strong math skills (e.g. statistics, algebra) 
• Problem-solving aptitude 

• Excellent communication and presentation skills. 
• Bachelor’s / Master's Degree in Computer Science, Engineering, Data Science or other quantitative or relevant field is preferred  

What you need to have:

About the company:

💰 Early-stage, funded, growing, growing fast, profitable!

🎯 Mission Driven: To help small & large Indian businesses grow faster

Min. Experience: 3+ years in Full Stack Development

Skillset:

• You primarily identify as a full-stack engineer and are comfortable working on the server-side as well as UI side.
• You have shipped code to production recently and regularly
• You are driven and care about doing a good job and improving your craft.
• You have high integrity, and you are reliable
• You have excellent coding, programming, and problem-solving skills.
• You have experience with implementing modern architectural patterns.
• You have good debugging skills and coding practices
• You are fluent in using the tools of the trade: Editors, Git, Command line, Slack, Jira
• You should have relevant experience in the Ruby on Rails stack.
• You have experience with multiple ORMs
• You have experience in Postgres / MySQL
• You have experience in ReactJS

What you can expect from us:

• Mentorship, growth, great work culture
• We are a people-first team. Mentorship and continuous improvement are a part of the team’s DNA
• We believe in solving problems from first principles
• A good balance between deep focussed work and collaborative work, we won't bother you with unnecessary meetings

What we ask from you:

• Bring your software engineering — both individual brilliance and collaborative skills.
• Bring your good nature — we're building a team that supports each other.
• Be vested or interested in the company vision
• Take ownership of your product
• Should be capable of handling one complete product end-to-end - with minimal oversight

Bonus:

• If you have DevOps expertise: Docker, Kubernetes, AWS
• If you have amazing frontend skills
• If you have created or contributed to an open-source component or library, we will love to see the code
• If you have given a talk or spoken in a meetup/conference
• If you have a hobby project, we will love to hear about it
• If you have previously worked in startups

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