
Skills Required:
- Experience with building a Design System and Component based designs.
- 3-5+ years of professional product design experience, bonus points if it was for SaaS platforms.
- Expertise in product design (UI, UX, and Research) and modern tooling e.g. Figma, Miro, etc.
- Experience in high growth startups and building minimum viable products.
- A solid design foundation and aesthetic delivering designs/documents that are simple, informative, and filled with craftsmanship and strong attention of detail.
- Basic technical expertise to communicate with developers.
- Business know-how: Understanding of business metrics and the ability to translate company goals and objectives into digital experiences.
- Hands-on experience with conceptualizing design projects, coordinating with creative teams and working on its execution.
- Ability to juggle multiple projects.
Responsibilties:
- Build the design language and system along with other designers that can be exposed to clients too.
- Work on pages using the design system & create UX experiences that seem flawless.
- Help in setting up design processes
- Work closely with product managers and engineers to define product specs and iterate on experiences as they are delivered.
- Help maintain, improve, and scale our current product experience.
- Create user flows to effectively communicate interaction and design ideas
- Ensure the products created are user-friendly and convey brand consistency with all projects.

Similar jobs
BE/BTech/BS or equivalent
7+ years of experience in Java and Spring Boot
Strong fundamentals in data structure, algorithm, and object-oriented programming
4+ years of hands-on experience in designing, developing, and delivering large-scale (distributed) system
architecture with complex software design, high scalability and availability.
Extensive experience with technical leadership, defining visions/solutions and collaborating/driving to see
them to completion.
Excellent analytical and problem-solving skills
Experience with any RDBMS and strong SQL knowledge
Comfortable with Unix / Linux command line
Nice to have Skills
Experience with Big Data platforms like Hadoop / Hive / Presto
Experience with ML/AI frameworks like TensorFlow, H20, etc
Used Key Value stores or noSQL databases
Good understanding of docker and container platforms like Mesos and Kubernetes
Security-first architecture approach
Application benchmarking and optimization
About Root Node
We’re an early-stage startup building intelligent tools for planning, scheduling, and optimization—starting with timetabling and warehouse logistics. Backed by deep domain expertise and a growing customer pipeline, we’re now building our core tech team. This is not just a coding job — it's a chance to build something meaningful from the ground up.
About the job
- Design and implement robust backend systems and APIs using Java or similar backend language and Spring Boot or equivalent frameworks
- Integrate backend services with existing custom ERP systems
- Work closely with the founder on product architecture, feature prioritization, and go-to-market feedback
- Take full ownership of features — from system design and development to deployment and iterative improvements
- Help shape our engineering culture and technical foundations
You're a Great Fit If You:
- Have 3+ years of experience in backend development
- Are strong in Java or similar languages (e.g., Kotlin, Go, Node.js)
- Have solid experience with Spring Boot or equivalent backend frameworks
- Have integrated with ERP or enterprise systems in production environments
- Are comfortable with both SQL (PostgreSQL) and NoSQL (MongoDB)
- Understand REST API development, authentication, Docker
- Have an entrepreneurial mindset — you're excited about ownership, ambiguity, and making decisions that shape the product and company
- Want more than just a job — you want to build, solve, and learn rapidly
What We Offer
- Competitive salary
- High degree of ownership and autonomy
- Ability to shape the tech and product direction from Day 1
- Transparent and fast decision-making culture
- A builder’s environment — solve real-world problems with real impact



We're looking for AI/ML enthusiasts who build, not just study. If you've implemented transformers from scratch, fine-tuned LLMs, or created innovative ML solutions, we want to see your work!
Make Sure before Applying (GitHub Profile Required):
1. Your GitHub must include:
- At least one substantial ML/DL project with documented results
- Code demonstrating PyTorch/TensorFlow implementation skills
- Clear documentation and experiment tracking
- Bonus: Contributions to ML open-source projects
2. Pin your best projects that showcase:
- LLM fine-tuning and evaluation
- Data preprocessing pipelines
- Model training and optimization
- Practical applications of AI/ML
Technical Requirements:
- Solid understanding of deep learning fundamentals
- Python + PyTorch/TensorFlow expertise
- Experience with Hugging Face transformers
- Hands-on with large dataset processing
- NLP/Computer Vision project experience
Education:
- Completed/Pursuing Bachelor's in Computer Science or related field
- Strong foundation in ML theory and practice
Apply if:
- You have done projects using GenAI, Machine Learning, Deep Learning.
- You must have strong Python coding experience.
- Someone who is available immediately to start with us in the office(Hyderabad).
- Someone who has the hunger to learn something new always and aims to step up at a high pace.
We value quality implementations and thorough documentation over quantity. Show us how you think through problems and implement solutions!

Key Responsibilities:
- Develop and maintain the frontend components of the Camera AI and gym & trainer management software.
- Collaborate with UI/UX designers to translate design concepts into functional, responsive web applications.
- Ensure the applications are optimized for performance, scalability, and cross-browser compatibility.
- Implement user interfaces that provide a seamless experience, including real-time data visualization, interactive elements, and responsive design.
- Work closely with backend engineers to integrate APIs and ensure smooth communication between frontend and backend systems.
- Conduct thorough testing and debugging to ensure the stability and performance of the applications.
- Stay up-to-date with the latest trends and best practices in frontend development and apply them to enhance our products.
Qualifications:
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- 5+ years of experience in frontend development.
- Proficiency in HTML, CSS, JavaScript, and modern frontend frameworks such as React, Angular, or Vue.js.
- Experience with responsive design principles and front-end optimization techniques.
- Strong understanding of RESTful API integration.
- Familiarity with version control systems (e.g., Git).
- Ability to write clean, maintainable, and efficient code.
- Excellent problem-solving skills and attention to detail.
- Ability to work collaboratively in a fast-paced, dynamic environment.
Preferred Qualifications:
- Experience working with WebRTC or other real-time communication technologies.
- Familiarity with frontend testing frameworks and tools (e.g., Jest, Cypress).
- Knowledge of UI/UX best practices.
- Experience with Agile development methodologies.
About WorkIndia
WorkIndia started with One & Only One Purpose -- To provide jobs to the underprivileged of India who lack access to basic necessities and resources
Our Vision is “To Provide meaningful livelihoods to the 25.8 Cr blue-collar individuals of India and now the 120 Cr blue-collar individuals on this planet”.
Far too many individuals are deprived of access to meaningful job opportunities thanks to untrustworthy, opaque & inefficient systems of hiring. WorkIndia is here to change that - through a 100% automated, tech-driven, marketplace for blue-collar hiring.
WorkIndia has achieved a scale of 2.8 Crore registered job seekers, 1.7 million registered employers, 3.1 million interview calls and 110k+ hireds happening through the platform per month, entirely driven through technology.
Role: Digital Marketing Manager - Google and Affiliates
What you will be doing
- Drive quality user acquisition at scale through Google by creating exceptional app campaigns and ads
- Analyse and optimize app installation ad campaigns to increase ROAS
- Research and implement new features and strategies to improve campaign effectiveness
- Develop and implement affiliate marketing strategies and campaigns to increase brand visibility, drive traffic, and acquire new customers.
- Grow and Scale the affiliate network to increase the number of user acquisitions
- Negotiate and manage contracts, commissions, and terms with affiliate partners to ensure profitability and mutual benefits.
- Monitor and analyze affiliate performance, conversion rates, and ROI to identify areas for optimization,improvement and fraud prevention
- Monitor and analyze campaigns daily to meet goals
- Measure and report daily on the performance of digital marketing campaigns
- Collaborate with the Graphic Design team to create compelling creatives and promotional materials
- Collaborate with cross-functional teams, including product, design, and customer support, to optimize the customer journey and enhance the affiliate partner experience.
- Pushing our Digital marketing Strategies beyond industry best practices
What you will need
- Mandatory Hands on experience in Google UAC and MMP
- Excellent skills in Excel and Data Querying
- Experience in using marketing data tools (Appsflyer/ Branch / Singular ) and marketing analytics
- Start-up background or willingness to work in a start-up environment
- Our ideal candidate has 1-4 years of digital marketing experience
- Excellent negotiation and communication skills, with the ability to build and maintain effective relationships with affiliate partners.
- An analytical mind and an interest in the Digital marketing industry is a must
- Eager to learn, self-driven, independent problem-solving ability
Preferably -4 to 7 years of experience of selling any type of
Boilers/ Electric boiler/ super heaters.
B. Assist company in application discussion with clients and
generate enquiries.
D. Convince client of superior technology and sell Electric type.
C. Fill up questionnaire during bidding stage for major bids, projects
& interact with client & team for quotes & all follow up.
D. Make weekly / monthly reports of client visits, review with
Management, team on enhancing market share, maintain list of
RFQ, quotes,Orders etc.
E. Make technical & application selling, quote preparation & follow
up with clients of all nature and starategise solution to ward
competition.
F. Take initiative in solving problems at site for products supplied
when called for.
G. Ensure guarantee runs, educate clients on proper running of our
products & minimize and solve guarantee claims.
J. Participate in exhibitions & educate clients on our product
features, screen web portal and download and bid new opportunities,
arrange vendor registration for domestic & international markets,
constant follow up with foreign agents.

- Sr. Data Engineer:
Core Skills – Data Engineering, Big Data, Pyspark, Spark SQL and Python
Candidate with prior Palantir Cloud Foundry OR Clinical Trial Data Model background is preferred
Major accountabilities:
- Responsible for Data Engineering, Foundry Data Pipeline Creation, Foundry Analysis & Reporting, Slate Application development, re-usable code development & management and Integrating Internal or External System with Foundry for data ingestion with high quality.
- Have good understanding on Foundry Platform landscape and it’s capabilities
- Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues.
- Defines company data assets (data models), Pyspark, spark SQL, jobs to populate data models.
- Designs data integrations and data quality framework.
- Design & Implement integration with Internal, External Systems, F1 AWS platform using Foundry Data Connector or Magritte Agent
- Collaboration with data scientists, data analyst and technology teams to document and leverage their understanding of the Foundry integration with different data sources - Actively participate in agile work practices
- Coordinating with Quality Engineer to ensure the all quality controls, naming convention & best practices have been followed
Desired Candidate Profile :
- Strong data engineering background
- Experience with Clinical Data Model is preferred
- Experience in
- SQL Server ,Postgres, Cassandra, Hadoop, and Spark for distributed data storage and parallel computing
- Java and Groovy for our back-end applications and data integration tools
- Python for data processing and analysis
- Cloud infrastructure based on AWS EC2 and S3
- 7+ years IT experience, 2+ years’ experience in Palantir Foundry Platform, 4+ years’ experience in Big Data platform
- 5+ years of Python and Pyspark development experience
- Strong troubleshooting and problem solving skills
- BTech or master's degree in computer science or a related technical field
- Experience designing, building, and maintaining big data pipelines systems
- Hands-on experience on Palantir Foundry Platform and Foundry custom Apps development
- Able to design and implement data integration between Palantir Foundry and external Apps based on Foundry data connector framework
- Hands-on in programming languages primarily Python, R, Java, Unix shell scripts
- Hand-on experience in AWS / Azure cloud platform and stack
- Strong in API based architecture and concept, able to do quick PoC using API integration and development
- Knowledge of machine learning and AI
- Skill and comfort working in a rapidly changing environment with dynamic objectives and iteration with users.
Demonstrated ability to continuously learn, work independently, and make decisions with minimal supervision
Understand various raw data input formats, build consumers on Kafka/ksqldb for them and ingest large amounts of raw data into Flink and Spark.
Conduct complex data analysis and report on results.
Build various aggregation streams for data and convert raw data into various logical processing streams.
Build algorithms to integrate multiple sources of data and create a unified data model from all the sources.
Build a unified data model on both SQL and NO-SQL databases to act as data sink.
Communicate the designs effectively with the fullstack engineering team for development.
Explore machine learning models that can be fitted on top of the data pipelines.
Mandatory Qualifications Skills:
Deep knowledge of Scala and Java programming languages is mandatory
Strong background in streaming data frameworks (Apache Flink, Apache Spark) is mandatory
Good understanding and hands on skills on streaming messaging platforms such as Kafka
Familiarity with R, C and Python is an asset
Analytical mind and business acumen with strong math skills (e.g. statistics, algebra)
Problem-solving aptitude
Excellent communication and presentation skills

Skill: Python, Docker or Ansible , AWS
➢ Experience Building a multi-region highly available auto-scaling infrastructure that optimizes
performance and cost. plan for future infrastructure as well as Maintain & optimize existing
infrastructure.
➢ Conceptualize, architect and build automated deployment pipelines in a CI/CD environment like
Jenkins.
➢ Conceptualize, architect and build a containerized infrastructure using Docker,Mesosphere or
similar SaaS platforms.
Work with developers to institute systems, policies and workflows which allow for rollback of
deployments Triage release of applications to production environment on a daily basis.
➢ Interface with developers and triage SQL queries that need to be executed inproduction
environments.
➢ Maintain 24/7 on-call rotation to respond and support troubleshooting of issues in production.
➢ Assist the developers and on calls for other teams with post mortem, follow up and review of
issues affecting production availability.
➢ Establishing and enforcing systems monitoring tools and standards
➢ Establishing and enforcing Risk Assessment policies and standards
➢ Establishing and enforcing Escalation policies and standards

