11+ Jupyter Notebook Jobs in Bangalore (Bengaluru) | Jupyter Notebook Job openings in Bangalore (Bengaluru)

Qualifications

● Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical

experience (or) degree in an analytical field (e.g. Computer Science, Engineering, Mathematics,

Statistics, Operations Research, Management Science)

● 3+ years experience with data analysis and metrics development

● 3+ years experience analyzing and interpreting data, drawing conclusions, defining

recommended actions, and reporting results across stakeholders

● 2+ years experience writing SQL queries

● 2+ years experience scripting in Python

● Demonstrated curiosity in and excitement for Web3/blockchain technologies

● Interested in learning new technologies to solve customer needs with lots of creative freedom

● Strong communication skills and business acumen

● Self-starter, motivated by an interest for developing the best possible solutions to problems

● Experience with Google Cloud - Bigquery, DataBricks stack, DBT, Tableu, Jupyter is a plus

Job Title : Senior Software Engineer (Full Stack — AI/ML & Data Applications)

Experience : 5 to 10 Years

Location : Bengaluru, India

Employment Type : Full-Time | Onsite

Role Overview :

We are seeking a Senior Full Stack Software Engineer with strong technical leadership and hands-on expertise in AI/ML, data-centric applications, and scalable full-stack architectures.

In this role, you will design and implement complex applications integrating ML/AI models, lead full-cycle development, and mentor engineering teams.

Mandatory Skills :

Full Stack Development (React/Angular/Vue + Node.js/Python/Java), Data Engineering (Spark/Kafka/ETL), ML/AI Model Integration (TensorFlow/PyTorch/scikit-learn), Cloud & DevOps (AWS/GCP/Azure, Docker, Kubernetes, CI/CD), SQL/NoSQL Databases (PostgreSQL/MongoDB).

Key Responsibilities :

• Architect, design, and develop scalable full-stack applications for data and AI-driven products.
• Build and optimize data ingestion, processing, and pipeline frameworks for large datasets.
• Deploy, integrate, and scale ML/AI models in production environments.
• Drive system design, architecture discussions, and API/interface standards.
• Ensure engineering best practices across code quality, testing, performance, and security.
• Mentor and guide junior developers through reviews and technical decision-making.
• Collaborate cross-functionally with product, design, and data teams to align solutions with business needs.
• Monitor, diagnose, and optimize performance issues across the application stack.
• Maintain comprehensive technical documentation for scalability and knowledge-sharing.

Required Skills & Experience :

• Education : B.E./B.Tech/M.E./M.Tech in Computer Science, Data Science, or equivalent fields.
• Experience : 5+ years in software development with at least 2+ years in a senior or lead role.
• Full Stack Proficiency :
• Front-end : React / Angular / Vue.js
• Back-end : Node.js / Python / Java
• Data Engineering : Experience with data frameworks such as Apache Spark, Kafka, and ETL pipeline development.
• AI/ML Expertise : Practical exposure to TensorFlow, PyTorch, or scikit-learn and deploying ML models at scale.
• Databases : Strong knowledge of SQL & NoSQL systems (PostgreSQL, MongoDB) and warehousing tools (Snowflake, BigQuery).
• Cloud & DevOps : Working knowledge of AWS, GCP, or Azure; containerization & orchestration (Docker, Kubernetes); CI/CD; MLflow/SageMaker is a plus.
• Visualization : Familiarity with modern data visualization tools (D3.js, Tableau, Power BI).

Soft Skills :

• Excellent communication and cross-functional collaboration skills.
• Strong analytical mindset with structured problem-solving ability.
• Self-driven with ownership mentality and adaptability in fast-paced environments.

Preferred Qualifications (Bonus) :

• Experience deploying distributed, large-scale ML or data-driven platforms.
• Understanding of data governance, privacy, and security compliance.
• Exposure to domain-driven data/AI use cases in fintech, healthcare, retail, or e-commerce.
• Experience working in Agile environments (Scrum/Kanban).
• Active open-source contributions or a strong GitHub technical portfolio.

Job overview:

We are seeking an experienced React.js Developer who is passionate about crafting high-quality, scalable, and performant front-end applications. The ideal candidate should have strong hands-on experience in modern JavaScript frameworks, UI development, and a keen eye for detail.

Key Responsibilities

• Develop and maintain responsive web applications using React.js, JavaScript (ES6+), HTML5, and CSS3.
• Build scalable and reusable UI components with React Hooks, Redux/Context API, and component-driven architecture.
• Optimize app performance to ensure fast load times, smooth interactions, and cross-browser compatibility.
• Write clean, modular, well-documented code following industry best practices and Git-based workflows.
• Troubleshoot, debug, and enhance existing features based on user feedback, analytics, and technical requirements.
• Integrate RESTful APIs and collaborate closely with backend engineers, designers, and product managers.
• Stay updated with emerging trends, tools, and best practices in front-end development to continuously improve the codebase and architecture.

Required Skills

• 4+ years of hands-on experience in React.js and JavaScript (ES6+).
• Strong understanding of HTML5, CSS3, Flexbox, Responsive Design, and UI frameworks (Tailwind/Bootstrap).
• Experience with state management using Redux, Redux Toolkit, or Context API.
• Hands-on experience with REST APIs, asynchronous programming, and front-end build tools (Webpack, Babel, npm/yarn).
• Good understanding of version control using Git.
• Ability to write efficient, scalable, and re-usable components following best practices.

Requirements:

• Experience of managing Engineering teams in an Agile environment.
• Expert knowledge of delivering solutions in Azure cloud within a large-scale enterprise environment.
• Great understanding of DevOps principles and how they assist in taking products to market in an effective manner.
• Experience of Automation/Configuration management tools as well as working in a continuous delivery environment, monitoring and tooling.
• Knowledge and experience in Azure, Kubernetes, Containerisation, Azure DevOps pipelines.
• Experience in managing permissions in Azure DevOps.
• Working experience in Application Gateways, App Services, Front-Door, Azure Service Bus, etc.
• Troubleshooting experience in virtual/cloud infrastructures.
• Experience in delivery of projects using IAC (Infrastructure as Code).

• Build and execute acquisition plans every month working with all stakeholder teams.
• Own the quality of customers and CAC.
• Own app install campaigns, CPI, uninstall rates etc.
• Strong understanding of Facebook, Google, Affiliate Marketing platforms and MMPs such as Appsflyer
• Expertise in optimisation techniques to scale up campaigns and deliver Low CPIs and CAC
• Strong knowledge of managing funnel events and customer journeys to deliver high ROI
• Own performance marketing channels. Improve RPCs, CPVs, CAC etc.
• Identify new channels for app installs, performance marketing and digital marketing.
• Manage the media planning activities end to end.
• Know the market: Stay on top of trends in an ever-changing landscape, find opportunities and prioritize based on size, internal capabilities etc.
• Generate weekly and monthly reporting for all major metrics, goals tracking, revenue tracking, and other paid search initiatives

Requirement:

• Experience in managing Google ads/Facebook ads for apps
• Expert level analytical skills
• Hands on experience with MMPs such as Appsflyer/ Branch / Adjust
• Expert level knowledge of spreadsheet programs
• Understanding of playstore analytics and app ecosystem
• Working knowledge of Google Analytics / Adobe Analytics (preferably adobe analytics)
• Great communication skills
• Knowledge of Basic SQL & Query will be an added advantage

Requirement:

• 3+ years of experience in managing Google ads/Facebook ads for apps
• Expert level analytical skills
• Hands on experience with MMPs such as Appsflyer/ Branch / Adjust
• Expert level knowledge of spreadsheet programs
• Understanding of play store analytics and app ecosystem
• Working knowledge of Google Analytics / Adobe Analytics (preferably adobe analytics)
• Great communication skills
• Knowledge of Basic SQL & Query will be an added advantage

• Excellent knowledge in one or more of Python/NodeJS REST Frameworks 
• Hands on experience in system architecture and data modelling. Experience with databases like MySQL, Postgres, MongoDB.
• Devops capabilities - with good understanding of deployments and cloud infrastructure. In depth knowledge of container architecture using Docker is must. 
• Scaled systems using RabbitMQ/ Redis /Celery/ Kafka