Work Experience : 1 2 Years Work Location : Pune/ Remote Educational Qualification : Bachelor s or post graduate Degree in Computer Science, IT, or equivalent work experience. JOB PURPOSE Nimbusnext is dedicated to delivering exceptional cloud-native capabilities and services to a wide range of industries. Our vision is to drive successful business outcomes for our clients through innovative, secure, and cost-effective Data driven, AI ML backed native solutions and with Advanced AI techniques. Over the years, the merging of AI technology with cloud platforms has given rise to new opportunities where businesses can create unimaginable superior experiences for both the end customers as well as their workforce. As a React Native Developer, you will be responsible for designing, developing, and maintaining cross-platform mobile applications for iOS and Android. You will collaborate with designers, backend developers, and other stakeholders to deliver high-quality applications that provide seamless user experiences. Must-Have Skills: React Native Proficiency: Hands-on experience with React Native framework, component lifecycle, and hooks. Mobile Development (iOS Android): Strong experience in developing applications for both platforms using React Native. JavaScript TypeScript: Solid understanding of ES6+ JavaScript and TypeScript for robust app development. State Management: Experience with Redux, Context API, or other state management libraries. API Integration: Ability to consume RESTful APIs and handle data fetching efficiently. UI/UX Implementation: Proficiency in styling components using CSS-in-JS, Styled Components, or libraries like NativeBase. Debugging Performance Optimization: Experience with debugging tools like React DevTools, Flipper, and performance optimization techniques. Version Control: Proficiency in Git and experience with platforms like GitHub or Bitbucket. Testing: Familiarity with unit testing frameworks like Jest or React Testing Library. Third-Party Libraries Plugins: Experience integrating libraries such as React Navigation, Firebase, and Native Modules. Communication and Collaboration: Effectively explain technical concepts, document your code, and collaborate with cross-functional teams to deliver solutions that meet business needs. Good To Have Skills: Native Module Development : Understanding of Swift (for iOS) and Kotlin/Java (for Android) for native module development. Push Notifications : Experience implementing push notifications using Firebase Cloud Messaging (FCM) or Apple Push Notification Service (APNs). CI/CD Pipelines : Familiarity with mobile CI/CD tools like Fastlane, Bitrise, or GitHub Actions. App Store Play Store Deployment : Hands-on experience with publishing and maintaining apps on Google Play Store and Apple App Store. Security Best Practices : Understanding of mobile security principles and secure coding practices. Agile Collaboration : Experience working in Agile teams using tools like Jira, Slack, and Confluence. You are welcome to be part of Nimbusnext!

Work Experience : 2 4 Years Work Location : Pune Job Summary We are looking for a skilled Python Developer with expertise in Django and FastAPI to join our team. The ideal candidate should have experience in API development, database management, and writing scalable, secure code. Additional exposure to AI/ML, cloud deployment, and DevOps will be a plus. Core Technical Skills : Django Fast API : Experience building APIs, models, views, and using Django ORM. Database Management : Practical knowledge of SQL (PostgreSQL, MySQL) and basic query optimization. Code Structure Best Practices : Familiarity with clean coding principles and best practices API Development : Ability to create secure REST APIs with authentication and authorization. Testing Debugging : Writing unit tests using Django s built-in tools or pytest. AI/ML Generative AI (Preferred): Basic AI/ML Concepts : Exposure to NumPy, Pandas, and Scikit-learn. Text Processing NLP : Tokenization, sentiment analysis, and simple ML models. Intro to LLMs RAG : Familiarity with OpenAI, LangChain, or retrieval-augmented generation. Cloud, DevOps Deployment (Good to Have): Version Control : Experience with Git for collaborative development. CI/CD Basics : Familiarity with Azure DevOps or GitHub Actions. Containerization : Understanding of Docker for running applications. Project Management Collaboration: Agile Workflow : Experience with Scrum methodologies in Azure DevOps or Jira. Cross-Team Collaboration : Working with frontend teams and integrating APIs. Containerization : Understanding of Docker for running applications. Key Responsibilities Develop and maintain backend services using Django/FastAPI. Optimize database queries and manage schema changes. Build and integrate APIs with frontend applications. Write and maintain unit tests for backend services. Contribute to deployment pipelines and cloud infrastructure. Learn and apply best practices for security and scalability.

Role: Developer: Generative AI and Data Science Work Experience: 3 – 4 Years Key Attributes: ● Graduate Engineer or postgraduate with 03 – 04 years of experience, out of which about 1+ years in advanced Generative AI technologies and the rest in Data Science, AI, and Machine Learning ● Must have a good grasp of database management, including Vector DBs, SQL (Structured Query Language), and NoSQL (Non-relational) databases. ● Must have hands-on Python-based web and back-end frameworks like Django, flask Must-Have Skills: ● Hands-on Gen AI experience across LLMs like OpenAI, Gemini, Mistral, Falcon, etc. ● Advanced RAG (Retrieval Augmented Generation), Multi-Modal RAG, LangChain, LlAMA ● Text analytics: NLP, Sentiment Analysis, Topic Modelling, Seq2Seq, Attention model, Tokenizer, Word2Vec, etc ● Strong proficiency in Python and related libraries (NumPy, Pandas, Scikit-learn, Tensor Flow, Keras, PyTorch, Flask or Django). ● Awareness on agentic System Development, which can perform tasks autonomously and interact with other systems. Key Responsibilities: ● Cross-functional collaboration: Work closely with product management, engineering, and business teams to integrate AI-driven features into products and services, ensuring they meet market needs and customer expectations. ● Investigate the technology trends and implement them within the product following the product vision, strategy, and roadmap. ● Carry out quick POCs/ build MVPs to rapidly demonstrate solution possibilities/feasibilities across Infrastructure, Storage, Analytics, AI/ML, Security etc, ● Ensure efficient usage of tools and implementation of processes and systems thus creating a proficient environment for effective delivery. ● Work with clients to ensure smooth and successful implementation, delivery, and deployment of complex solutions ● Compliance: Ensure all AI and data science activities comply with relevant data privacy laws, regulations, and ethical standards. ● Client Interaction: Engage with clients to understand their needs and ensure successful implementation, delivery, and deployment of AI-driven solutions. Show more Show less

Role: Developer: Generative AI and Data Science Work Experience: 3 – 4 Years Key Attributes: ● Graduate Engineer or postgraduate with 03 – 04 years of experience, out of which about 1+ years in advanced Generative AI technologies and the rest in Data Science, AI, and Machine Learning ● Must have a good grasp of database management, including Vector DBs, SQL (Structured Query Language), and NoSQL (Non-relational) databases. ● Must have hands-on Python-based web and back-end frameworks like Django, flask Must-Have Skills: ● Hands-on Gen AI experience across LLMs like OpenAI, Gemini, Mistral, Falcon, etc. ● Advanced RAG (Retrieval Augmented Generation), Multi-Modal RAG, LangChain, LlAMA ● Text analytics: NLP, Sentiment Analysis, Topic Modelling, Seq2Seq, Attention model, Tokenizer, Word2Vec, etc ● Strong proficiency in Python and related libraries (NumPy, Pandas, Scikit-learn, Tensor Flow, Keras, PyTorch, Flask or Django). ● Awareness on agentic System Development, which can perform tasks autonomously and interact with other systems. Key Responsibilities: ● Cross-functional collaboration: Work closely with product management, engineering, and business teams to integrate AI-driven features into products and services, ensuring they meet market needs and customer expectations. ● Investigate the technology trends and implement them within the product following the product vision, strategy, and roadmap. ● Carry out quick POCs/ build MVPs to rapidly demonstrate solution possibilities/feasibilities across Infrastructure, Storage, Analytics, AI/ML, Security etc, ● Ensure efficient usage of tools and implementation of processes and systems thus creating a proficient environment for effective delivery. ● Work with clients to ensure smooth and successful implementation, delivery, and deployment of complex solutions ● Compliance: Ensure all AI and data science activities comply with relevant data privacy laws, regulations, and ethical standards. ● Client Interaction: Engage with clients to understand their needs and ensure successful implementation, delivery, and deployment of AI-driven solutions. Show more Show less