ResponsibilitiesDevelop and test computer vision models using real-world and curated datasets. Handle image data preprocessing, annotation, and dataset management. Implement computer vision and deep learning techniques under the guidance of senior engineers. Evaluate model performance, benchmark results, and document findings clearly. Collaborate with the team to understand requirements and iterate on solutions. Support the AI engineering team with experimentation, applied research and prototyping.Qualification & ExperienceProficiency in Python with the ability to write scripts and handle data processing workflows. Basic familiarity with OpenCV, NumPy, TensorFlow, or PyTorch (at least one). Understanding of fundamental deep learning concepts (training, validation, loss functions, overfitting). Basic knowledge of image data handling and preprocessing. Awareness of modern AI concepts such as LLMs or Generative AI. Candidate of B.Tech / BCA / BSc / MCA / M Tech / Any equivalent degree (pursuing or completed). Prior project or coursework or certification specifically involving computer vision tasks.Familiarity with model fine-tuning or transfer learning approaches. Familiarity with YOLO and Pipelines Awareness of modern AI concepts such as LLMs or Generative AI. Understanding of model evaluation metrics such as precision, recall, and mAP.

ResponsibilitiesDesign, develop, and execute manual and automated test cases across functional, regression, integration, and end-to-end testing scenarios. Conduct API testing for REST, SOAP, and GraphQL APIs to validate functionality, reliability, and performance. Perform security and vulnerability testing to ensure data integrity and access control across systems. Use tools like Postman, cURL, Selenium, PyTest, RestAssured, and JMeter for test execution and automation. Participate in requirement analysis, prepare test plans, test scenarios, and maintain traceability. Log, track, and retest defects in collaboration with development teams using tools like Jira or open source tools. Contribute to CI/CD pipelines by integrating automated tests for continuous validation. Collaborate with developers, product managers, and DevOps teams to identify quality gaps and enhance overall product reliability. Maintain comprehensive test documentation, including test results, coverage reports, and improvement recommendations.Qualification & ExperienceExcellent in both manual and automation testing across multiple domains (functional, regression, API, and security). Knowledgeable about API architecture, HTTP methods, status codes, headers, and data formats (JSON, XML). Proficient with testing tools such as Postman, cURL, Selenium, JMeter, and open-source automation frameworks. Familiar with test management and bug-tracking tools like Jira, TestRail, or Zephyr. Skilled in API, performance, and security testing concepts. Strong in analytical thinking, debugging, and problem-solving. (Nice to have) Experience integrating automation with CI/CD pipelines (e.g., Jenkins, GitLab CI). (Nice to have) Prior experience or internship in QA, development testing, or product validation environments.

ResponsibilitiesYou w’ll convert Software Packages into Dockerfile(s) Maintain and map the life-cycle of a software component/package using Docker Implement and monitor tools like GitLab, GitHub Implement and improve monitoring and alerting. Experience in the tools like Nagios, Zabbix Implement cluster and broker technologies using Docker Implement and manage CI/CD pipelines preferably using Jenkins/Jenkins-X, Argo CD Implement an auto-scaling system for our Kubernetes nodes. Install various open-source components and debug issues related to software package installation in Docker/Kubernetes Environments, ELK, Kafka, Cassandra.Qualification & ExperienceOperations or systems administration experience, particularly on Linux. Passionate about Open Source Technologies and experience in dealing with open source packages. Knowledge on Docker, and/or cloud deployment technologies Strong understanding with container networking on Docker. Knowledge in Linux Internals and Shell/AWK/Sed scripting and Terraform Understanding application deployment by using CI/CD. Knowledge with monitoring tools like Prometheus, Grafana, Datadog, etc. Familiar with OCI, AWS, GCP, Azure and PaaS, IaaS, SaaS B.E or B.Tech in Computer Science or Electronics/Electrical is a MUST.

ResponsibilitiesAssist in developing and maintaining ETL/ELT pipelines for data ingestion and transformation. Monitor data workflows and help troubleshoot pipeline failures, latency issues, and data quality problems. Support the implementation of DataOps best practices, including CI/CD, automation, and version control. Work with cloud platforms such as AWS, Azure, or GCP to manage data infrastructure. Collaborate with cross?functional teams to ensure data availability, reliability, and accuracy. Document processes, workflows, and system configurations. Assist in building dashboards or monitoring tools for pipeline performance. Qualification & ExperienceBasic understanding of SQL and relational databases. Familiarity with at least one programming language: Python, Java, or Scala. Knowledge of data concepts: ETL, data warehousing, APIs, batch vs. streaming. Exposure to cloud services (AWS/Azure/GCP) is a plus. Understanding of Git or other version control tools. Strong analytical and problem?solving abilities.

ResponsibilitiesEnd-to-End Feature Development: Build and maintain high-fidelity web interfaces using React.js/Next.js while developing the robust Golang services that power them. API Design & Integration: Design, implement, and consume RESTful APIs. You’ll be responsible for ensuring the contract between the frontend and backend is seamless and efficient. Database Management: Work with databases to ensure data integrity and optimize queries for high-scale internal operations. Performance Optimization: Enhance application performance across the stack from implementing lazy loading in the browser to optimizing backend execution times and asset delivery. Code Stewardship: Contribute to a clean, modular codebase by participating in peer code reviews and adhering to ES6+ standards and Go best practices. Debug & Iterate: Proactively identify bottlenecks across the stack and squash technical debt under the mentorship of senior engineers. Qualification & ExperienceFrontend Fundamentals: Solid command of the "Holy Trinity" (HTML5, CSS3, and Modern JavaScript). Experience with Tailwind CSS is a major plus. Backend Proficiency: Strong foundational knowledge of Go (Golang). You should understand concurrency, routing, and how to build scalable microservices. Framework Expertise: Hands-on experience with React.js. Familiarity with state management (Redux/Zustand) and Next.js is highly desirable. Outcome-Driven Development: A portfolio or project history that shows a "before and after" impact streamlining a manual workflow or building a usable tool from scratch. The "GreedyGame" Mindset: You are an obsessive learner who stays updated on industry trends and possesses a "ship-fast" mentality. Education: Currently pursuing or recently graduated with a degree in Computer Science, IT, or a related field (Equivalent self-taught excellence is also welcomed).

ResponsibilitiesData Pipeline & Infrastructure Design and maintain scalable data pipelines that process large volumes of ad events such as requests, impressions, clicks, installs, and revenue signals. Build ETL workflows for ingesting data from ad networks, SDK telemetry, and internal services. Optimize data warehouse schemas and data models for fast analytics queries. Monitor and ensure data accuracy, reliability, and latency across pipelines. Monetization & Product Analytics Analyze advertising performance metrics such as: eCPM Fill Rate ARPDAU Impressions / Requests Revenue per user Generate insights that help improve publisher monetization and ad yield optimization. Work with product teams to analyze ad placement performance, user engagement, and revenue trends. Experimentation & Optimization Support A/B testing and experimentation around ad formats, placements, and monetization strategies. Build dashboards and analytics frameworks to measure experiment impact and revenue lift. Identify opportunities to improve auction efficiency, ad delivery performance, and user experience. Data Accessibility & Reporting Build dashboards and data tools used by product, AdOps, and business teams. Deliver data-driven insights and reports that influence product and monetization decisions. Help define and maintain key business metrics and tracking standards. Qualification & ExperienceStrong expertise in SQL and data querying Programming experience with Python / Scala Experience building ETL pipelines and data workflows Experience with data warehouses (BigQuery, Snowflake, Redshift, etc.) Understanding of large-scale event data processing Experience with dashboarding tools such as Looker, Tableau, Metabase, or Superset Strong analytical thinking and ability to translate data into business insights Good to Have Experience working in AdTech, programmatic advertising, or mobile monetization Familiarity with GAM, AdMob, ironSource, Unity Ads, or other ad platforms Experience processing high-throughput streaming data (Kafka, Spark, Flink) Understanding of real-time bidding (RTB) systems and ad auctions Exposure to mobile app analytics or gaming monetization

Responsibilities Design and deliver production-grade agentic workflows for assigned scope Troubleshoot common LLM, integration, and deployment issues Apply CI/CD, observability, and security practices with consistency Communicate delivery progress and risks clearly to stakeholders Skills Expectations Strong production coding skills and cloud-native development Working knowledge of agent frameworks, evaluation, and guardrails Ability to apply MCP/A2A-style context retrieval with guidance Comfortable in customer-facing technical discussionsExperience8-10 Years

ResponsibilitiesManaging the technical scope of the project in line with the requirements at all stages Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends Develop record management process and policies Build and maintain relationships at all levels within the client base and understand their requirements. Providing sales data, proposals, data insights and account reviews to the client base Identify areas to increase efficiency and automation of processes Set up and maintain automated data processes Identify, evaluate and implement external services and tools to support data validation and cleansing. Produce and track key performance indicators

ResponsibilitiesReinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.ExperienceExperience: 8-10 Years

Responsibilities Design and implement IoT connected asset solutions as per the requirements of the project. Manage engineering projects, ensuring that all project goals are met within the stipulated time and budget. Solve complex engineering problems using technical proficiency and innovative thinking. Collaborate with various departments and stakeholders, ensuring effective communication and teamwork. Experience5-7yrs