Marketing Head

Responsibilities:

• Design, develop, and maintain efficient and reliable data pipelines.
• Identify and implement process improvements, automating manual tasks and optimizing data delivery.
• Build and maintain the infrastructure for data extraction, transformation, and loading (ETL) from diverse sources using SQL and AWS cloud technologies.
• Develop data tools and solutions to empower our analytics and data science teams, contributing to product innovation.

Qualifications:

Must Have:

• 2-3 years of experience in a Data Engineering role.
• Familiarity with data pipeline and workflow management tools (e.g., Airflow, Luigi, Azkaban).
• Experience with AWS cloud services.
• Working knowledge of object-oriented/functional scripting in Python
• Experience building and optimizing data pipelines and datasets.
• Strong analytical skills and experience working with structured and unstructured data.
• Understanding of data transformation, data structures, dimensional modeling, metadata management, schema evolution, and workload management.
• A passion for building high-quality, scalable data solutions.

Good to have:

• Experience with stream-processing systems (e.g., Spark Streaming, Flink).
• Working knowledge of message queuing, stream processing, and scalable data stores.
• Proficiency in SQL and experience with NoSQL databases like Elasticsearch and Cassandra/MongoDB.

Experience with big data tools such as HDFS/S3, Spark/Flink, Hive, HBase, Kafka/Kinesis.

Job Description – Flutter Developer (5–10 Years)

Department: Engineering – Software & QA

Industry: Insurance / Fintech

Employment Type: Full-Time, Permanent

Position Overview

We are looking for an experienced Flutter Developer (5–10 years) to join our engineering team. The ideal candidate will be responsible for building high-quality, scalable mobile applications using Flutter for both Android and iOS. You will collaborate closely with designers, product managers, and engineers to deliver end-to-end mobile solutions, lead junior developers, and contribute to architectural and process improvements.

What You Will Be Doing

✔ Develop high-quality, scalable mobile applications using Flutter & Dart

✔ Translate UI/UX designs and wireframes into fully functional apps

✔ Write clean, testable, and maintainable code

✔ Work closely with designers, PMs, QAs, and other developers

✔ Implement new features, fix bugs, and optimize app performance

✔ Handle app flows involving offline storage, threading, localization, etc.

✔ Integrate third-party services: REST APIs, Firebase, Location, Notifications, Video recording, Payment gateways

✔ Participate in project estimation, architecture discussions, and release planning

✔ Contribute to the full mobile development lifecycle—from concept to deployment

✔ Prepare documentation for architecture, reusable components, and processes

✔ Lead and mentor junior Flutter developers

✔ Stay updated with latest Flutter, mobile development, and Web technologies

✔ Contribute to Flutter Web modules when required

Required Skills & Experience

Technical Skills

Must Have

• 5–10 years total experience, with 4+ years in Flutter & Dart
• Strong understanding of mobile app development (Android & iOS)
• Ability to design & build apps from scratch
• Experience with:
• Firebase services (Auth, Firestore, Storage, Messaging)
• Location services
• Push notifications
• Video recording modules
• REST API integration
• 3rd-party SDK integrations
• Expertise in:
• Building UI-rich, high-performance mobile apps
• Offline storage, performance tuning, and low battery usage optimization
• Experience using Git/GitHub
• Published at least 1+ app on PlayStore or App Store
• Understanding of Flutter Web
• Basic knowledge of payment gateway integration
• Knowledge of GraphQL is a plus
• Experience with native Android/iOS development is a big advantage

AI Tools Experience (Preferred)

• Using AI coding assistants: GitHub Copilot, Cursor AI, Tabnine
• Working with OpenAI / Claude APIs
• Using AI for debugging, optimization, and productivity
• Basic understanding of prompt engineering

Bonus Skills (Good to Have)

• Cloud platforms: AWS / Azure / Google Cloud
• Docker containers
• CI/CD pipelines: GitHub Actions, Jenkins
• Message queues: Kafka / RabbitMQ
• Caching systems: Redis / Memcached
• Frontend experience in Flutter Web
• Experience with distributed systems

SE/SSE - Backend (Java)

JAVA: Software Engineer / Senior Software Engineer

Job Overview: RevSure.AI is building a world-class team of Engineers with a mandate to architect, design, build, scale, and maintain our cutting-edge Revops platform and derive insights from the customer data. If you are a great JavaScript developer (or, for that matter, in any major programming language) with experience in building SaaS web applications and looking for an opportunity to build world-class products using cutting-edge technologies, please read on -

Responsibilities:

● Contribute to the growth and development of our product by writing and maintaining code, focusing on quality and maintainability. We believe that our teams own the code they build.

● Share your knowledge, both inside and outside your own team.

● Design, implement, test, and monitor valuable solutions that achieve the teamʼs goals while keeping a smooth delivery flow and balancing tradeoffs between scope, time, and effort.

● Continuously improve your and your teamʼs way of working, expanding the boundaries of your teamʼs autonomy and self-organisation.

Requirements:

Must-Have:

● Good interpersonal and communication skills. An analytical mind and an eye for detail

● Experience of 4-7 years in building large applications, preferably from the heavy data processing & analytics side

● Experience in architecting, designing, and building end-to-end System Design of multi tenant SAAS applications

● Experience architecting interactive configuration experiences around DAGs, configuration-heavy reporting feature, interactive data pipeline design interfaces, and charting.

● Experience in Java, Spring Boot, and GCP

● In-depth understanding of design patterns, OOPs, and Functional programming.

● Passionate programmer focused on Backend Programming.

Good to have:

● Working knowledge of GCP managed services like Kubernetes, PubSub

Please feel free to share your resume to chandana at revsure.ai

**Based on your experience, the title could vary. We care more about mindset , ownership, and craft than just titles.

A South DELHI based NGO, Wishes and Blessings urgently requires an experienced FULL TIME Social Media Manager( strategy/ content/growth ) (based in Delhi)

KRA
1)Developing and Implementing social media strategy

2) Handling all media handles ( Twitter/ Facebook/ instagram/LinkedIn/YouTube)

3)Writing content for social media (captions/ hashtags)

3) Influencer marketing

4) Collaborations and contests

We are seeking a high performing and motivated individual to join our team in Delhi. The requirements are as follows:

* Bachelor’s degree.

* 2+ years of experience in working as a Social media manager (Working in a non-profit setup preferable

* Excellent command over written and spoken English.

* Ability to make reels/ stories

* Ability to work alone and stay motivated as well as work well in a team set-up.

* Excellent management skills.

Salary 30,000-35000 per month depending upon experience and knowledge

Pls note Agencies are NOT eligible to apply.

Job Type: Full-time DELHI BASED

Job Type: Full-time

IndiaMART is offering an exciting Work from Home opportunity for Returning to Work Mothers/Females.

We are hiring #part-time #associate having #remote location who will assist IndiaMART’s buyers over call. You will be required to verify information from the buyer and update the same on the portal.

It is a #non-sales process but a #voice based calling process. You are expected to work a minimum of 4hrs a day.

All you need is good verbal #communication skills, laptop/desktop and broadband internet connection and above all, zeal to work.

An average associate working 8 hours a day earns about rupees 15,000/- to 25,000/- per month in this program. Additional incentives will also be provided based on the quality and output of your service.

Selection Process

• Online IndiaMART Aptitude Test
• Video Assessment

Mandatory Documents Required

• Address Proof - Aadhaar Card
• ID Proof - PAN Card
• Bank Details - Cancelled Cheque/Bank Statement/Passbook
• PWD/PH Certificate (if applicable)
• Passport size photograph

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