Agile Programme Manager

About the Role :

As the Lead AI/ML Engineer, you will be responsible for leading the design, development, deployment, and continuous improvement of AI-powered solutions that create measurable impact in education. This role combines hands-on technical execution with engineering leadership, requiring you to architect scalable AI systems, mentor engineers, establish best practices, and collaborate closely with cross-functional teams to deliver production-grade solutions.

You will take ownership of the complete AI development lifecycle—from problem definition and data pipeline design to model training, deployment, monitoring, and optimization—while ensuring high standards of reliability, scalability, security, and performance. The role also involves evaluating emerging AI technologies and driving their adoption to enhance product capabilities and user experience.

Roles and Responsibilities:

• Lead the design, development, and deployment of AI-powered products for production environments.
• Drive technical architecture and decision-making across machine learning models, inference systems, cloud infrastructure, and distributed computing.
• Develop and maintain end-to-end machine learning pipelines, including data ingestion, model training, evaluation, deployment, monitoring, and continuous optimization.
• Design scalable, secure, and high-performance AI services capable of handling production-scale workloads.
• Provide technical leadership by mentoring engineers, conducting code and design reviews, and fostering engineering excellence.
• Establish and promote best practices for software quality, testing, performance optimization, observability, reliability, and maintainability.
• Collaborate closely with Product, Backend, Mobile, and Data teams to deliver robust, scalable, and business-focused AI solutions.
• Research, evaluate, and implement emerging AI technologies to enhance product capabilities and drive innovation.

Required Skills & Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical discipline.
• Minimum 4 years of hands-on experience developing, deploying, and maintaining production-grade AI/ML systems.
• Strong proficiency in Python with excellent software engineering, object-oriented programming, and system design skills.
• Extensive experience with modern machine learning frameworks such as PyTorch, Hugging Face, TensorFlow, or equivalent.
• Proven expertise in deploying, optimizing, and scaling large language models (LLMs) and other AI models for production inference.
• Strong understanding of containerization and cloud-native technologies, including Docker, Kubernetes, AWS, and distributed system architectures.
• Demonstrated ability to lead technical initiatives, mentor engineering teams, and make sound architectural decisions.
• Excellent analytical, debugging, communication, and problem-solving skills.

Preferred Qualifications

• Hands-on experience with Large Language Models (LLMs), Computer Vision, Speech Recognition, Generative AI, or Multimodal AI systems.
• Experience with model optimization and inference technologies such as Quantization, Distributed Training, vLLM, TensorRT, ONNX Runtime, or similar frameworks.
• Prior experience developing AI solutions for the education, public sector, or other large-scale social impact initiatives.

Details:

• Location: Kothrud, Pune.
• Interested candidates should fill in the application on career website   https://careers.vopa.in/                                 
• Salary :- 12 LPA to 14 LPA (Depending on last drawn salary, Interview and Skills)

Key Responsibilities:

1. Advanced Tracking Implementation
2. Design and execute advanced tracking solutions across both web and app environments using GA4, GTM (Web & Server-side), and Firebase. This includes configuring events, custom parameters, and dataLayers for accurate data collection. You will also implement enhanced tracking, user journey analytics to ensure comprehensive visibility of user behavior.
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4. Troubleshooting and Problem Solving
5. Identify, investigate, and resolve complex tracking or data discrepancies. You’ll use debugging tools and browser inspection utilities to diagnose issues. Collaborating with developers, you will resolve technical errors, configurations, and perform thorough QA testing to validate every deployment.
6. Custom Solution Development
7. Develop and deploy custom JavaScript and GTM solutions to meet unique business tracking requirements. You will create reusable templates, automation scripts, and tagging logic that improve efficiency and enable scalable analytics solutions. Implement and manage cookie consent systems to ensure compliance with global privacy regulations like GDPR and CCPA
8. Measurement Strategy and Analytics Frameworks
9. Build and maintain measurement frameworks that align analytics implementations with key business KPIs. You’ll translate marketing and operational objectives into clear, technical tracking requirements and audit existing setups to identify data integrity issues.
10. Documentation and Reporting
11. Create and maintain detailed documentation for all tagging structures, dataLayer designs, and measurement frameworks. You’ll produce QA and validation reports, project summaries, and technical handovers to ensure transparency and consistency across teams and clients. Create and share implementation reports, audit summaries, and technical handover guides.

Key Skills & Competencies

• Strong technical knowledge of GA4, GTM (Web & Server-side), and Firebase implementations.
• Strong understanding of tools like: GA4 / Firebase / Mixpanel / Segment / Adjust / AppsFlyer
• Hands-on experience with JavaScript, regex, and JSON for creating custom tracking solutions.
• Website, iOS, Android, React Native, Flutter event architecture
• Hands-on experience with debugging tools (Charles, ADB, Xcode logs, chrome extensions).
• Expertise in dataLayer schema design, tagging, documentation, implementation, debugging, and data validation processes.
• Excellent understanding of data privacy laws (GDPR, CCPA) and consent management solutions.
• Analytical mindset with a strong attention to detail and problem-solving ability.
• Proven ability to collaborate with cross-functional teams and communicate technical concepts clearly with clients and teams.
• Ability to troubleshoot complex data issues independently.
• Project ownership mindset with strong prioritization and organizational skills.

Hi All,

Job Description:

As a Java Developer, you will be responsible for developing and maintaining high performance, scalable, and secure applications. We are seeking a skilled and motivated Java Developer with experience in the Spring Framework to join our dynamic team. This is a remote/work-from-home position, offering you the flexibility to work from anywhere.

Location : Remote / WFH

Salary : Good Hike on Current

Key Responsibilities:

• Design, develop, and maintain Java-based applications using the Spring Framework.
• Collaborate with cross-functional teams to define, design, and ship new features.
• Write clean, maintainable, and efficient code.
• Ensure the performance, quality, and responsiveness of applications.
• Troubleshoot and debug issues to optimize application performance.
• Participate in code reviews to maintain high coding standards and best practices.
• Work with RESTful APIs and integrate third-party services.
• Contribute to all phases of the software development lifecycle, including requirements
• Gathering, design, implementation, testing, and deployment.

Key Requirements:

• 2 to 5+ years of experience in Java development.
• Strong experience with the Spring Framework (Spring Boot, Spring MVC, Spring Data, etc.).
• Proficiency in building RESTful APIs and web services.
• Solid understanding of object-oriented programming and design patterns.
• Experience with relational databases like MySQL, PostgreSQL, or Oracle.
• Familiarity with version control systems, particularly Git.
• Knowledge of front-end technologies such as HTML, CSS, and JavaScript is a plus.
• Ability to work independently and as part of a remote team.
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills.

Preferred Qualifications:

• Experience with cloud platforms like AWS, Azure, or Google Cloud.
• Familiarity with microservices architecture.
• Knowledge of containerization tools such as Docker.
• Understanding of Agile/Scrum methodologies.

Benefits:

• Work-from-home/remote opportunities.
• Opportunities for professional growth and development.
• Collaborative and inclusive work environment.

Key Responsibilities

• As a part of the DevOps team, you will be responsible for the configuration, optimization, documentation, and support of the CI/CD components.

• Creating and managing build and release pipelines with Azure DevOps and Jenkins.

• Assist in planning and reviewing application architecture and design to promote an efficient deployment process.

• Troubleshoot server performance issues & handle the continuous integration system.

• Automate infrastructure provisioning using ARM Templates and Terraform.

• Monitor and Support deployment, Cloud-based and On-premises Infrastructure.

• Diagnose and develop root-cause solutions for failures and performance issues in the production environment.

• Deploy and manage Infrastructure for production applications

• Configure security best practices for application and infrastructure

Essential Requirements

• Good hands-on experience with cloud platforms like Azure, AWS & GCP. (Preferably Azure)

• Strong knowledge of CI/CD principles.

• Strong work experience with CI/CD implementation tools like Azure DevOps, Team City, Octopus Deploy, AWS Code Deploy, and Jenkins.

• Experience of writing automation scripts with PowerShell, Bash, Python, etc.

• GitHub, JIRA, Confluence, and Continuous Integration (CI) system.

• Understanding of secure DevOps practices

Good to Have -

•Knowledge of scripting languages such as PowerShell, Bash

• Experience with project management and workflow tools such as Agile, Jira, Scrum/Kanban, etc.

• Experience with Build technologies and cloud services. (Jenkins, TeamCity, Azure DevOps, Bamboo, AWS Code Deploy)

• Strong communication skills and ability to explain protocol and processes with team and management.

• Must be able to handle multiple tasks and adapt to a constantly changing environment.

• Must have a good understanding of SDLC.

• Knowledge of Linux, Windows server, Monitoring tools, and Shell scripting.

• Self-motivated; demonstrating the ability to achieve in technologies with minimal supervision.

• Organized, flexible, and analytical ability to solve problems creatively

• 3+ years of Experience majoring in applying AI/ML/ NLP / deep learning / data-driven statistical analysis & modelling solutions.
• Programming skills in Python, knowledge in Statistics.
• Hands-on experience developing supervised and unsupervised machine learning algorithms (regression, decision trees/random forest, neural networks, feature selection/reduction, clustering, parameter tuning, etc.). Familiarity with reinforcement learning is highly desirable.
• Experience in the financial domain and familiarity with financial models are highly desirable.
• Experience in image processing and computer vision.
• Experience working with building data pipelines.
• Good understanding of Data preparation, Model planning, Model training, Model validation, Model deployment and performance tuning.
• Should have hands on experience with some of these methods: Regression, Decision Trees,CART, Random Forest, Boosting, Evolutionary Programming, Neural Networks, Support Vector Machines, Ensemble Methods, Association Rules, Principal Component Analysis, Clustering, ArtificiAl Intelligence
• Should have experience in using larger data sets using Postgres Database. 

• Firm grasp of the JavaScript (and TypeScript ) language and its nuances
• Knowledge of (functional or object-oriented) programming
• Ability to write well-documented, clean Javascript code
• Rock solid at working with third-party dependencies and debugging dependency conflicts
• Familiarity with native build tools.
• Understanding of REST APIs, the document request model, and offline storage
• Experience with automated testing suites.

Position: Full Stack Developer

Location: Hyderabad, India

Must have skills:

• Experience working with Typescript
• Experience working with Vue (including Vuex for state management, Vue cli etc.)
• Knowledge of one or more CSS preprocessors/JavaScript bundlers like SASS, Less, Webpack, Parcel, Rollup.
• integrating with Restful or other web services.
• Proficiency with Git
• Appreciation for clean and well documented code
• Thorough understanding of user experience and possibly even product strategy

Work for one of the fastest growing financial ecommerce platforms, and give your career great exposure to global processes and systems.

What you need to have:

Senior Android Development Engineer - Chennai

Who we are?

Kaleidofin is a financial platform for the informal sector, which provides solutions tailored to the customer’s goals and are intuitive to use. We are working towards creating fair and transparent financial solutions that can target millions of customers and enterprises in India that don’t have easy access to formal financial planning.

In a very short time span, global investors such as Omidyar Network, Blume Ventures and well known individual investors have supported Kaleidofin’s well thought out business model with $2.8 million in seed funding.

With its focus to harness mobile technology to deliver a paperless experience as well as its focus to harness technology and analytics to predict the right product for the right customer, Kaleidofin aims to become a leading FinTech player bringing financial solutions to everyone.

To know more about Kaleidofin, do visit our site https://kaleidofin.com/

What You’ll Do?

We are seeking extremely smart & independent senior developers who are gung ho about building large scale systems that are going to have a big impact on millions of customers. You will:

• Lead design and development of products working closely with business team
• Independently own software components and co-own entire applications with a small group of fellow developers
• Formally mentor junior software engineers on the team, reviewing design documents, (peer) reviewing code, providing design direction and guidance
• Build performant, scalable, yet secure, enterprise ready android applications with architecture that is fast yet lean on the backend servers enabling them to support millions of users in parallel
• Establish strong engineering best practices and champion their adoption

Who You Need To Be? 


• 4+ years’ experience in android software development and delivery
• Bachelors or Masters degree in engineering (preferably computer science or sister branches) from a reputed institute (preferably IITs, NITs, or other top engineering institutes).
• Strong grasp of CS fundamentals, algorithms and excellent problem-solving abilities. 

• All experience should be from good product development or e-commerce background.
• Able to take ownership of working with multiple teams – Product, Back end, QA, Business from start of development to go-live.
• Must have shown good stability in all your previous associations.
• Skill set
  • Strong knowledge of UI architectural patterns like MVVM(preferable), MVC, MVP, data binding, activity & fragment lifecycle, recycler view, navigation component, layouts (constraint layout preferable), theming etc.
  • Should have actively used retrofit, work managers, android jetpack, Rx java, dagger, retrofit, android sdk, GIT/bitbucket, gradle/ant and very keen on exploring other proven tech stack.
  • Comfortable with test driven development in android with UI testing, instrumented unit testing and unit testing using junits and mockito
  • Have working knowledge of writing backend REST API’s (preferably in Java, spring boot & hibernate) without having to completely depend on backend engineers for delivery
  • Has worked in a fast paced agile organization building stateless and re-entrant/resumable android applications.
  • Should have worked on building applications across wide range of android devices and android versions.
  • Experience of Kotlin (especially kotlin coroutines and koin) is a big plus.