IN_Senior Associate_AI Engineer _Data& Analytics_Advisory_Bangalore

Line of Service
Advisory

Industry/Sector
Not Applicable

Specialism
Data, Analytics & AI

Management Level
Senior Associate

& Summary
At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.
In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.
Why PWCAt PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us.
At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firms growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.
& Summary:QA Automation LeadResponsibilities: ML Pipeline Design: Design ML pipelines for experiment management, model management, feature management, and model retraining. Design APIs for model inferencing at scale. Proven expertise with MLflow, SageMaker, Vertex AI, and Azure AI. LLM Serving and GPU Architecture: Possess deep knowledge of GPU architectures. Expertise in distributed training and serving of large language models. Proficient in model and data parallel training using frameworks like DeepSpeed and service frameworks like vLLM. Model Fine-Tuning and Optimization: Demonstrate proven expertise in model fine-tuning and optimization techniques. Achieve better latencies and accuracies in model results. Reduce training and resource requirements for fine-tuning LLM and LVM models. DevOps and LLMOps Proficiency: Proven expertise in DevOps and LLMOps practices. Knowledgeable in Kubernetes, Docker, and container orchestration. Deep understanding of LLM orchestration frameworks like Flowise, Langflow, and Langgraph. Skill Matrix LLM: Hugging Face OSS LLMs, GPT, Gemini, Claude, Mixtral, Llama LLM Ops: ML Flow, Langchain, Langraph, LangFlow, Flowise, LLamaIndex, SageMaker, AWS Bedrock, Vertex AI, Azure AI Databases/Datawarehouse: DynamoDB, Cosmos, MongoDB, RDS, MySQL, PostGreSQL, Aurora, Spanner, Google BigQuery. Cloud Knowledge: AWS/Azure/GCP Dev Ops (Knowledge): Kubernetes, Docker, FluentD, Kibana, Grafana, Prometheus Cloud Certifications (Bonus): AWS Professional Solution Architect, AWS Machine Learning Specialty, Azure Solutions Architect Expert Proficient in Python, SQL, Javascrip
Automation Leadership

• Lead all automation initiatives for the Analytics team.

• Drive key automation KPIs:

• 100% automation coverage

• 100% execution rate with 100% pass rate

• Reduce execution time to ≤3 hours

• Achieve 80% code coverage via automation tests

• Guide, mentor, and review test automation engineers to ensure adherence to best practices and coding standards.

• Self-healing locators

• Autonomous test execution

• Intelligentretryand Recovery

• Support multi-turn test scenarios and dynamic test flows

• Experience using or integrating AI agents / self-healing mechanisms

• Exposure to AI-driven testing tools

• Design and build scalable, extensible test automation frameworks.

• Support parameterized test case creation andmulti‑environmenttest execution.

• Research, evaluate, and recommend new tools and technologies to address testing challenges.

• Develop andmaintainscripts to support testing tasks.

• Plan, coordinate, and manage all automated testing activities.

• Develop, execute, andmaintaintest plans, scripts, and test cases.

• Analyze test results,identifydefects, and recommend corrective actions.

• Maintain documentation of test execution and results.

• Provide regular test status updates and manage stakeholder expectations.

• Create andmaintaintraceability matrices to ensure comprehensiverequirement coverage.

• Drive automated regression, performance, load, and scalability testing.

• Ensure product quality across frontend, backend, data pipelines, and integrations.

• Collaborate closely with development teams in Agile/Scrum environments.

• 8+ years of QA experience testing Java/J2EE andweb‑basedapplications.

• Strong automation background with Selenium, TestNG, JUnit, and otheropen‑sourcetools.

• Experience testing data pipelines usingpytest or equivalent frameworks.

• Understanding ofPySpark and Databricks(optional).

• Strong programming experience in Java or another OOP language.

• Experience with performance testing (optional).

• Proficiencywith QA tools such as JIRA, test management systems, CI/CD systems.

• Good understanding of HTTP, SSL, HTML, XML, CSS, JavaScript, SQL, and debugging techniques.

• Experience in Agile/Scrum development environments.

• Bachelors orMasters degree in Computer Scienceor equivalent.

• Strongproblem‑solving, analytical, and debugging skills.

• Ability to understandnew technologiesquickly.

• High attention to detail, reliability, and ownership mindset.

• Ability to work independently and collaboratively across teams.

• Strong communicationskills—written and verbal.

• Excellent organizational andtime‑managementabilities.

• Ability to work in environments with limited standardization and evolving requirements.

• QA Automation Lead

Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Master of Business Administration, Bachelor of Engineering

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills
QA Automation

Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline + 38 more

Desired Languages (If blank, desired languages not specified)

Travel Requirements
Not Specified

Available for Work Visa Sponsorship
No

Government Clearance Required
No

Job Posting End Date
May 19, 2026