Join our team

• Design, develop, and deploy machine learning models and AI solutions for business problems across multiple domains.
• Collaborate with cross-functional teams including engineering, product, and analytics to identify opportunities for data-driven
  solutions.
• Perform exploratory data analysis (EDA), feature engineering, and model selection using industry best practices.
• Conduct experiments and perform model validation and performance tuning.
• Build reusable code and libraries for future use and contribute to data science platform improvements.
• Present findings and insights clearly to both technical and non-technical stakeholders.

• 4+ years of relevant experience in data science, with hands-on experience in machine learning, deep learning, or AI systems.
• Proficiency in Python and relevant libraries (e.g., Pandas, Scikit-learn, TensorFlow, PyTorch, NumPy, etc.).
• Strong understanding of supervised, unsupervised, and reinforcement learning techniques.
• Experience with SQL, data wrangling, and working with large datasets.
• Exposure to cloud platforms like AWS, Azure, or GCP is a plus.
• Familiarity with MLOps, model deployment, and version control (e.g., Git).

• Experience working with NLP, computer vision, or time-series forecasting.
• Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Power BI, Tableau).
• Understanding of A/B testing, causal inference, and statistical hypothesis testing.
• Ability to work in a fast-paced, agile environment with minimal supervision.
• Experience in GenAI frameworks (OpenAI, Vertex AI), multi-agent architectures, and MLOps tooling.

• Python, Java, SQL, JavaScript/TypeScript
• TensorFlow, PyTorch, Scikit-learn

Cloud Platform:

• GCP – Vertex AI, BigQuery, Cloud Functions, Cloud Run, Dataflow, Pub/Sub

Data & MLOps:

• BigQuery, AlloyDB, MongoDB, Redis
• Any relation Database – Oracle , MySQL, MSSQL
• Any of the MLOps – MLflow, Kubeflow, Airflow
• Docker, Kubernetes

GenAI & Agents:

• Vertex AI Gemini, OpenAI, Claude
• LangChain, LlamaIndex, FAISS, Pinecone
• RAG pipelines, autonomous agents, multi-agent orchestration, memory modules, tool use, prompt chaining

Dev Tools:

• GitHub Copilot, ChatGPT, Cursor AI or any other Gen AI Tools

• Collaborate with stakeholders, business analysts, and data engineers to understand data needs and translate them into visual
  solutions.
• Converting English dashboards to Hindi Dashboards
• Gather, analyze, and document user requirements and translate them into technical specifications.
• Develop complex calculations, parameters, and filters to support dynamic dashboards.
• Optimize performance of Tableau dashboards and troubleshoot any data or visualization issues.
• Maintain and support Tableau Server or Tableau Online environment, including publishing and scheduling reports.
• Perform data validation and ensure data accuracy and consistency.
• Integrate data from multiple sources (e.g., SQL Server, Excel, cloud databases, APIs).
• Stay up-to-date with Tableau features and best practices to continuously improve BI solutions.

• 3–5 years of hands-on experience with Tableau Desktop and Tableau Server.
• Proficiency in writing complex SQL queries and working with relational databases.
• Experience with data blending, joins, and data source optimization.
• Solid understanding of data governance and security practices.
• Excellent problem-solving and analytical skills.
• Strong communication skills and ability to present data-driven insights to non-technical stakeholders.

• Design, develop, and maintain automated test scripts using tools such as Selenium, Appium,
  TestNG, JUnit, or similar.
• Create and manage automated test frameworks for web, mobile, and API testing.
• Identify automation opportunities in the testing process to optimize test coverage and efficiency.

2. Manual Testing:

• Perform comprehensive manual testing when automation is not feasible, including exploratory,
  functional, and regression testing.
• Identify and report software defects with clear documentation and steps to reproduce.

3. Test Planning & Execution:

• Collaborate with cross-functional teams to define test plans, strategies, and schedules.
• Ensure thorough test coverage by analyzing requirements, specifications, and use cases.
• Execute test cases across various stages of the SDLC (e.g., unit, integration, system, and acceptance
  testing).

4. Defect Management:

• Log, track, and verify defects in a bug-tracking tool (e.g., Jira, Bugzilla).
• Work closely with developers to resolve defects and retest fixes.

5. Performance & Load Testing:

• Conduct performance testing to evaluate the application’s responsiveness and scalability.
• Use tools like JMeter or LoadRunner for performance benchmarking.

• 6+ years of experience in QA, with a focus on both automation and manual testing.
• Proficiency in test automation tools like Selenium, Appium, TestNG, or similar.
• Hands-on experience with API testing tools like Postman, SoapUI, or RestAssured.
• Familiarity with version control systems (e.g., Git).
• Expertise in defect tracking and test management tools (e.g., Jira, TestRail).
• Solid understanding of Agile methodologies (e.g., Scrum, Kanban).
• Strong analytical, problem-solving, and attention-to-detail skills.
• Excellent communication and teamwork skills.

• Design, develop, and maintain high-performance, scalable, and secure backend systems using Java and frameworks
  like Spring Boot.
• Build and integrate RESTful APIs and microservices architecture to support frontend applications.
• Optimize application performance, ensuring efficient handling of data and processes.

• Develop responsive and dynamic frontend interfaces using Angular.
• Collaborate with UI/UX designers to implement engaging user interfaces and ensure seamless user experience.
• Bridge the backend and frontend for end-to-end application delivery.

• Write clean, maintainable, and testable code while adhering to industry best practices and organizational guidelines.
• Conduct code reviews and provide constructive feedback to team members.
• Implement and oversee automated testing frameworks, including unit, integration, and functional testing.

• Collaborate closely with cross-functional teams, including Product Managers, QA Engineers, and DevOps, to deliver
  high-quality software solutions.
• Mentor junior developers, guiding them in technical and architectural decisions.
• Participate in project planning and contribute to technical decisions and problem-solving.

• Stay updated with the latest technologies, frameworks, and industry trends to propose innovative solutions.
• Troubleshoot and resolve complex technical issues across the full-stack.

• Experience: 5+ years of experience in software development, with a focus on backend development using Java.
• Skills:
  • Strong expertise in Java, Spring Framework (Spring Boot, Spring MVC), and Hibernate/JPA.
  • Experience with database like SQL
  • Hands-on experience with Angular (preferred).
  • Proficient in microservices architecture and API development.
  • Knowledge of DevOps practices, including CI/CD pipelines, Docker, Kubernetes, etc.
  • Familiarity with version control systems such as Git.
  • Strong problem-solving and analytical skills with a focus on delivering efficient solutions.

• Lead a team of Java developers, providing technical guidance, mentorship, and support to ensure high-quality deliverables.
• Collaborate with cross-functional teams to design, develop, and deploy scalable software solutions using Java, Microservices,
  SQL, Spring framework etc.
• Architect and implement complex features and functionalities, ensuring adherence to best practices and coding standards.
• Drive innovation and continuous improvement within the development team through proactive research, exploration, and adoption of new technologies and methodologies.
• Conduct code reviews, performance evaluations, and provide constructive feedback to team members to foster professional
  growth and development.
• Resolving technical challenges, and providing technical leadership in troubleshooting and issue resolution.

• 8+ years of hands-on experience in Java development, with a deep understanding of core Java concepts and best practices.
• Proven experience in team leadership or management, with the ability to inspire, motivate, and mentor team members
  towards achieving common goals.
• Extensive experience in designing and developing enterprise-level software applications using Java, Elasticsearch, SQL, and
  the Spring framework.
• Strong understanding of software development methodologies, agile practices, and DevOps principles.
• Excellent problem-solving skills, with the ability to analyze complex technical issues and propose effective solutions.
• Excellent communication skills, with the ability to effectively collaborate with cross-functional teams and articulate technical
  concepts to non-technical stakeholders.
• Strong leadership qualities, with a passion for mentoring and developing team members, fostering a culture of innovation,
  collaboration, and excellence.
• Should have understanding of Angular or any other UI framework.
• Should have understanding of mobile applications and how they work.

• 10+ years of relevant experience in designing and developing scalable and distributed enterprise applications
• 5+ years of experience in technical product or program management preferably in consumer product
• Worked in the Retail (B2C E-Commerce) with complex business requirements

• Proficient in managing large scale programs involving multiple technical and non-technical functions across an organisation
• Expertise in Program management activities – prioritisation, planning of projects and features, stakeholder management, tracking & reporting on status, resolve blocking issues, ensuring co-ordination between various teams.
• Strong foundation in computer science, with strong competencies in data structures, algorithms, and software design
• Experience with agile/iterative development and program management methodologies. Should be able to coach a team on agile development. Should have experience with Agile management tools such as JIRA, Youtrack.
• Skilled at cross-functional and organizational communication; proficiency in using planning and collaboration tools
• Prior experience in fashion market-place or ecommerce IT program management is an added advantage.
• Expertise in common frameworks like Spring, JPA, RESTful Web Services, etc. and managing and optimizing data stores such as MySQL, MongoDB, Elasticsearch, etc. Should have managed teams working on these frameworks in the capacity of the project manager / scrum master.
• For Frontend Engineering managers, good understanding of front-end tools and technologies – Flutter, HTML5, CSS, JavaScript, React etc.
• Excellent verbal and written communication
• A mindset to constantly learn new things and challenge the Status Quo.
• Ability to understand and help teams to deep dive and analyse when needed.
• Ability to manage teams, have excellent interpersonal skills.
• Exposure to Domain Driven Design (DDD), SOLID principles, and Data Modelling on various RDBMS, NoSQL databases is a good to have.
• Deep knowledge of at least 2 different programming languages and runtimes. Any two of Ruby, Python, Swift, Go, Rust, C#, Dart, Kotlin, Java, Haskell, OCaml is good to have.

• Technological innovation and practical execution by keeping the customer at the centre of your thought process should be your key principles to live by

• Develop, enhance, and maintain scalable web applications using Angular
• Write clean, maintainable, and testable code following best practices and coding standards.
• Optimize application performance and ensure scalability.
• Debug and resolve technical issues as they arise.
• Participate in code reviews and contribute to the team’s knowledge base.

• Minimum 5 years of professional experience in front-end development, with at least 3+ years specializing in Angular.
• Proficiency in TypeScript, JavaScript, HTML, CSS.
• Experience with RxJS for reactive programming and state management.
• Hands-on experience with unit testing frameworks.
• Strong problem-solving skills and attention to detail.
• Excellent communication and teamwork skills.

• Design and build end-to-end machine learning systems—including pipelines, feature stores, training/inference services, and
  monitoring.
• Architect scalable, modular applications that embed foundation models, retrieval-augmented generation (RAG), and agentic
  workflows directly into product experiences—all on Google Cloud Platform (GCP) or Oracle Cloud Infrastructure (OCI).
• Develop privacy-preserving ML systems that align with food industry compliance and traceability standards.
• Build explainable AI frameworks to enable business stakeholders to trust and validate model outputs.
• Design AI architectures that deliver tenant-aware intelligence while ensuring strict data isolation and performance SLAs
  across our multi-tenant SaaS platform.

• Develop robust data pipelines using BigQuery, Dataflow, and Apache Beam.
• Train, tune, and deploy ML models using TensorFlow, PyTorch, and Scikit-learn.
• Build full-stack AI-native applications with Python, Java, React/Angular, and GCP-native services.
• Implement robust MLOps pipelines that ensure reproducible training, CI/CD deployment, cost-efficient scaling, and real-time
  model monitoring.

• Integrate GenAI features: RAG pipelines, content summarization, Q&A, semantic search synthetic data generation, and multi-
  turn chat interfaces
• Design and develop AI agents and copilots using LangChain, CrewAI, and Vertex AI to automate complex business processes.
• Use vector databases (FAISS, Pinecone) to build domain-specific LLM workflows.
• Prototype and deploy multi-agent systems for autonomous decision-making and workflow execution across supply chain, pricing, traceability, and forecasting.

• Lead a high-impact team of ML engineers and AI developers.
• Set technical strategy, define best practices, and guide architectural decision-making.
• Work cross-functionally with Product, Data Science, and Executive teams to shape AI innovation and delivery.

Requirement:

• 10+ years in software/ML engineering; 5+ years leading architecture and engineering teams.
• Proven experience building production-ready AI/ML pipelines and applications end-to-end.
• Expertise in GenAI frameworks (OpenAI, Vertex AI), multi-agent architectures, and MLOps tooling.
• Experience operationalizing LLMs for enterprise use cases: hallucination reduction, security, cost optimization, and
  monitoring.
• Track record of shipping high-quality intelligent products quickly and at scale.
• Strong team leadership, communication, and cross-functional collaboration skills.

Tech Stack:

Languages & Frameworks:

• Python, Java, SQL, JavaScript/TypeScript
• TensorFlow, PyTorch, Scikit-learn
• React, Angular

Cloud Platform:

• GCP – Vertex AI, BigQuery, Cloud Functions, Cloud Run, Dataflow, Pub/Sub
• OCI – Data Science, Autonomous Data Warehouse, Functions, Container Engine for Kubernetes (OKE), Data Flow, and
  Streaming

Data & MLOps:

• BigQuery, AlloyDB, MongoDB, Redis
• MLflow, Kubeflow, Airflow
• Docker, Kubernetes, GitHub Actions, Terraform

GenAI & Agents:

• Vertex AI Gemini, OpenAI, Claude
• LangChain, LlamaIndex, FAISS, Pinecone
• RAG pipelines, autonomous agents, multi-agent orchestration, memory modules, tool use, prompt chaining

Dev Tools:

• GitHub Copilot, ChatGPT, Cursor AI, Locofy or similar tools

• Design, build, and deploy machine learning and AI models for a variety of business use cases.
• Lead end-to-end ML projects from ideation to production, including data preparation, feature engineering, model training, validation, and monitoring.
• Collaborate with engineering, product, and business stakeholders to understand requirements and deliver impactful solutions.
• Leverage techniques in deep learning, NLP, generative AI, time-series analysis, or computer vision, as needed.
• Mentor junior data scientists and contribute to technical best practices, code reviews, and solution architecture.
• Evaluate and implement ML Ops practices for scalable and maintainable deployment.
• Stay updated on emerging trends in AI/ML and drive innovation by applying cutting-edge research.

• 6+ years of experience in data science, machine learning, and AI model development.
• Proficiency in Python, SQL, and ML frameworks such as scikit-learn, TensorFlow, PyTorch, or XGBoost.
• Experience with cloud platforms (AWS/GCP/Azure) and data pipeline tools (Airflow, Spark, etc.).
• Strong knowledge of model evaluation, A/B testing, feature selection, and data preprocessing.
• Excellent communication and storytelling skills to present findings to both technical and non-technical audiences.
• Experience in GenAI frameworks (OpenAI, Vertex AI), multi-agent architectures, and MLOps tooling.
• Ability to ship high-quality intelligent products quickly and at scale.

• Python, Java, SQL, JavaScript/TypeScript
• TensorFlow, PyTorch, Scikit-learn,Spring Boot
• React, Angular

• GCP – Vertex AI, BigQuery, Cloud Functions, Cloud Run, Dataflow, Pub/Sub
• OCI – Data Science, Autonomous Data Warehouse, Functions, Container Engine for Kubernetes (OKE), Data Flow, and
  Streaming

Data & MLOps:

• BigQuery, AlloyDB, MongoDB, Redis
• Any relation Database – Oracle , MySQL, MSSQL
• Any of the MLOps – MLflow, Kubeflow, Airflow
• Docker, Kubernetes

GenAI & Agents:

• Vertex AI Gemini, OpenAI, Claude
• LangChain, LlamaIndex, FAISS, Pinecone
• RAG pipelines, autonomous agents, multi-agent orchestration, memory modules, tool use, prompt chaining

Dev Tools:

• GitHub Copilot, ChatGPT, Cursor AI

• Lead and manage projects from initiation to completion, ensuring alignment with business goals.
• Collaborate with cross-functional teams to gather requirements, analyze business needs, and define project scope.
• Utilize Agile methodologies to facilitate Scrum ceremonies, sprint planning, and backlog management.
• Develop project plans, track progress, and manage risks, ensuring timely delivery of milestones.
• Act as a bridge between business and technology teams, translating business needs into technical solutions.
• Provide leadership in program management, ensuring coordination between interdependent projects.
• Engage with stakeholders at all levels, presenting project updates and ensuring alignment with business priorities.
• Ensure adherence to best practices, governance frameworks, and compliance requirements.
• Foster a culture of continuous improvement, team collaboration, and high performance.

• 8+ years of experience in Project Management, Program Management, Business Analysis, and Scrum Master roles.
• Proven expertise in Agile, Scrum, and Waterfall methodologies.
• Strong leadership and stakeholder management skills.
• Excellent communication and presentation skills, with the ability to convey complex ideas clearly.
• Experience in risk management, issue resolution, and change management.
• Strong analytical and problem-solving skills.
• Hands-on experience with project management tools like Jira, Confluence, MS Project, or similar.
• Certification(s) preferred: PMP, CSM, PMI-ACP, SAFe Agile, or equivalent.

• Professional and presentable appearance.
• Strong interpersonal and negotiation skills.
• Ability to work in a fast-paced environment and adapt to changing priorities.
• High attention to detail and a results-oriented mindset.

• Design and develop high-quality, scalable, and robust software components.
• Work collaboratively with team members, including Sr Engineers Is, Dev Leads, and senior engineers, to deliver software projects.
• Understand and translate business requirements into technical solutions.
• Contribute to the improvement of existing codebases and participate in code reviews.
• Troubleshoot, debug, and resolve technical issues in existing software applications.
• Write clean, efficient, and well-documented code.
• Engage in the full software development lifecycle, from concept to deployment and support.
• Stay updated on new technologies and best practices in software development.
• Participate in team meetings, providing updates and insights on project progress.

This role is essential for driving the development and maintenance of innovative software solutions. This position offers a challenging and rewarding environment for skilled software engineers to grow their technical abilities and contribute significantly to important projects. Working as Sr Engineer provides an excellent opportunity to collaborate with experienced professionals and engage with state-of-the-art technologies.

• App Router
• Server Components
• Data fetching patterns
• API Routes
• Middleware
• Edge Runtime

• Hooks and Custom Hooks
• Performance optimization
• Component architecture
• State management

• Tailwind CSS
• CSS Modules
• Styled Components

• Version control with Git
• Testing methodologies (Jest, React Testing Library, Cypress)
• CI/CD workflows
• Performance monitoring and optimization
• Web accessibility standards (WCAG)
• SEO best practices
• API integration (REST, GraphQL)
• State management solutions (Redux, Zustand, Jotai)

• Typically, 3+ years of experience in software development.
• Demonstrated experience in developing scalable and reliable software solutions.

• Design and develop scalable, resilient, and secure backend services using Java, Springboot, Spring framework and
  Microservices architecture.
• Implement containerized applications using Kubernetes for orchestration and management.
• Develop, deploy, and maintain applications on AWS Cloud, ensuring high availability and reliability.
• Conduct performance analysis and optimization to improve system efficiency and responsiveness.
• Collaborate closely with cross-functional teams including Product Management, UX/UI, and DevOps to deliver end-to-end
  solutions.
• Partner with DevOps teams to operationalize the product deliveries
• Technical hands-on experience with Microservices Architecture Style and the related patterns, where software is developed as
  small and independently deployable services that work together modeled around a business domain.
• Manage diverse requirements, negotiate, and effectively articulate rationale and vision behind technical decisions that support
  the business.
• Conduct code reviews, ensure code quality, and enforce coding standards and best practices.
• Participate in architectural design discussions and propose solutions to complex technical challenges.
• Troubleshoot issues, perform root cause analysis, and implement solutions in a timely manner.
• Stay updated on emerging technologies and industry trends, and apply them to improve our products and processes

• Proven experience (5+ years) as a Software Development Engineer with expertise in Java, Microservices, Kubernetes, AWS
  Cloud, and Performance Tuning.
• Experience in decouple architecture development using middle ware (eg Kafka)
• Exposure to relational and Non relational DBs ( eg Casandra, Elastic, Mongo DB etc)
• Strong understanding of software architecture principles, design patterns, and best practices
• Proficiency in building RESTful APIs and microservices architecture.
• Familiarity with Agile development methodologies and CI/CD pipelines.
• Hands-on experience with cloud-native development, CI/CD pipelines, and infrastructure as code (IaC).
• Proficiency in troubleshooting and debugging complex issues in distributed systems.
• Excellent communication, Analytical skills and ability to work effectively in a collaborative team environment.
• Prior experience in [Ecommerce, Retail Domain] is a plus.

As a Pyhton Backend Developer, your main responsibilities will include:

• Develop, maintain, and optimize backend services using Django and FastAPI.
• Design and implement RESTful and asynchronous APIs.
• Work with databases (PostgreSQL/MySQL) and ORM frameworks.
• Write clean, efficient, and reusable code following best practices.
• Optimize application performance and scalability.
• Integrate third-party APIs and external services.
• Collaborate with frontend developers, designers, and other stakeholders.
• Implement security and data protection solutions.
• Write unit tests and ensure high code quality.

To thrive in this role, you should have:

• 5+ years of experience in Python backend development.
• Strong proficiency in Django (DRF) and FastAPI.
• Understanding of Microservices.
• Experience with relational databases (PostgreSQL/MySQL) and ORM tools.
• Familiarity with Docker, Celery, and Redis.
• Knowledge of authentication and authorization (OAuth, JWT).
• Experience with version control (Git) and CI/CD pipelines.
• Good understanding of asynchronous programming and event-driven architecture.
• Experience working with cloud services (AWS, GCP, or Azure) is a plus.
• Strong problem-solving skills and attention to detail.

• Design, develop, and implement robust, scalable, and high-performing technical architectures.
• Provide technical leadership across multiple projects and ensure adherence to best practices.
• Collaborate with stakeholders, business analysts, and development teams to translate business needs into technical solutions.
• Define architectural standards, guidelines, and best practices for Java, React, Node.js, and Angular applications.
• Monitor and implement version control in Figma, tracking design updates and maintaining design history.
• Evaluate emerging technologies and recommend innovative solutions for business challenges.
• Conduct code reviews, ensure quality standards, and optimize application performance.
• Drive cloud adoption strategies and microservices architecture implementation.
• Mentor and guide development teams in adopting modern frameworks and methodologies.
• Engage in technical discussions and present architectural recommendations to stakeholders.
• Ensure security, scalability, and maintainability of applications.

• 8+ years of experience in software development, with a strong focus on architecture and design.
• Expertise in Java, React, Node.js, and Angular with hands-on experience in full-stack development.
• Strong understanding of microservices architecture, RESTful APIs, and cloud platforms (AWS, Azure, or Google Cloud).
• Experience with DevOps, CI/CD pipelines, containerization (Docker, Kubernetes), and cloud-native development.
• Solid understanding of design patterns, software development methodologies (Agile, Scrum), and best practices.
• Excellent communication, presentation, and stakeholder management skills.
• Strong problem-solving and analytical abilities.
• Experience with relational and NoSQL databases (MySQL, PostgreSQL, MongoDB).
• Familiarity with modern front-end and back-end frameworks, security best practices, and performance optimization.

• Professional and presentable appearance.
• Strong leadership and mentoring abilities.
• Ability to work in a dynamic environment and manage multiple priorities.
• Certification(s) in cloud architecture, Java, or front-end technologies (AWS Solutions Architect, Java SE/EE, etc.) is a plus.