Job ID: 865719

6 - 8 Years

1 Opening

Waluj

Role description

Role Specification

Role Description

We are looking for a Test Lead to define and drive the end-to-end QA strategy for our AI-powered platform. This role involves testing components across the stack—including ML models/backend, backend services, and frontend interfaces—to ensure accuracy, performance, security, and reliability. You will lead a team of testers, collaborate cross-functionally, and build automation pipelines aligned with CI/CD practices.

Role Title

SW QA Engineer/Tester

Role Purpose

What the role entails

(Key Responsibilities)

Test Strategy & Planning

- Define and own the comprehensive test plan for ML inference, backend workflows, and frontend user experience.

- Identify test scenarios for real-time sensor data pipelines, anomaly/event detection, historical playback, and UI s/configs.

- Design test cases with focus on modularity, reusability, and traceability to requirements.

- Define and track test coverage, maintain regression test suites, and handle test data design.

ML Model Testing

- Validate ML outputs (event classification, anomaly scores) against labeled test datasets.

- Perform accuracy testing, A/B comparison, drift detection, and model regression checks.

- Test model integration in real-time pipelines (latency, fault tolerance, failover behavior).

Backend & API Testing

- Validate backend APIs that consume ML outputs, transform data, and expose events to the UI.

- Test REST/gRPC endpoints, data transformations, streaming services (Kafka), and storage layers (PostgreSQL, Redis).

- Design load, concurrency, and recovery tests for backend services.

Frontend Testing

- Verify UI correctness for event visualization, timeline navigation, and control tools.

- Automate UI workflows using tools like Cypress, Playwright, or Selenium.

- Ensure responsiveness, accessibility, and data consistency in real-time dashboards.

Automation & DevOps Alignment

- Lead setup of test automation pipelines integrated with CI/CD (GitHub Actions, GitLab CI, etc.).

- Own the implementation of smoke, sanity,



regression, and performance suites.

- Collaborate with DevOps for observability in test environments, test parallelization, and reporting.

Leadership & Collaboration

- Mentor QA engineers and drive best testing practices across the platform.

- Collaborate with ML, backend, frontend, and product teams to review requirements and raise quality gates.

- Drive root cause analysis and support release readiness with QA sign-off.

What we are looking for in you

(Skills, Knowledge, Special Attributes, Mobility)

- 4 years in software testing with at least 1 years in a lead role.

- Experience testing ML model pipelines, data-driven APIs, and real-time UI platforms.

- Strong command over test design techniques, risk-based testing, and shift-left testing practices.

- Proficient in Python or JavaScript for writing automation scripts.

- Hands-on with tools such as Postman, JMeter, Pytest, Cypress, or Playwright.

- Familiarity with Kafka, REST/gRPC, Docker, and Linux environments.

- Knowledge of CI/CD, test versioning, and defect lifecycle management tools (e.g., JIRA, TestRail).

- Experience with model explainability testing (SHAP, LIME) or model monitoring tools.

- Exposure to edge device testing, cloud deployments (GCP), and real-time event handling systems.

- Knowledge of performance engineering and security testing basics.

Location

Aurangabad

Other details

- Driven by innovation, design, plan and implement Data & (Gen)AI architectures including the associated roadmaps, where you work together with Enterprise Architects and Senior Management up to C-Level on the customer side

- Design and set up experiments for collecting,



labeling analyzing data of different kinds of events from fiber based sensor solutions

- Assess the effectiveness and accuracy of data sources and data gathering techniques

- Develop automation methods for faster labeling of collected data

- Create architectural approaches for AI software and hardware integration

- Define AI solution objectives and ensure alignment with business outcomes

- Implement best practices for AI testing, deployment, and maintenance

- Develop Machine Learning and Deep Learning methods for event detection and classification

- Develop productive frameworks for training and evaluating the event detection/classification models

- Track the innovations in AI/ML technologies and algorithms/processing/ computation and its implementation to develop next generation fiber sensing solution

- Review and Optimize existing code/algorithm

- Create systematic plans to run the experiments to fine-tune the event detection/classification models

- Plan the tasks and provide estimates and timelines

- Support marketing/sales team with application notes, white papers and presentations

- Contribute to simulation model development and data analysis of various sensor solutions

- Design, Develop and optimize CNN-based models for event detection and classification using spectrograms and other signal-derived image formats.

- Apply computer vision techniques to identify spatial and temporal patterns in DAS data visualizations.

- Use deep learning architectures (e.g., CNN, RNN, LSTM) to model sequential and spatial aspects.

About STL and STL Digital

About STL - STL is a leading global optical and digital solutions company providing advanced offerings to build 5G, Rural, FTTx, Enterprise and Data Centre networks. About STL Digital - STL Digital, a wholly owned subsidiary of STL, is a global IT services and consulting company dedicated to delivering exceptional digital transformation experiences for enterprises with a comprehensive portfolio of services, including product engineering, cloud and cyber security, data and AI, and enterprise SaaS.

📌 QA Lead (India)
🏢 STL - Sterlite Technologies
📍 India