Senior Associate - QA AI Tester for National Delivery Excellence
Hyderabad, Telangana, India · Full Time
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- Experience
- 4+ yrs
- Salary
- —
- Openings
- 1
- Posted
- 5 days ago
- Work mode
- In office
- Education
- Any graduate
- Eligibility
- Any graduate is eligible to apply for this position.
- Resume
- Required to apply
Where you'll work
Job description
About PwC and Role Overview
At PwC, our business application consulting team assists clients in enhancing operational efficiency through tailored software solutions. Within our Workday human capital management division, specialists focus on delivering expert consulting to optimize HR processes and talent management through effective use of Workday HCM applications. As a Senior Associate specializing in QA AI Testing within our Data and Analytics Engineering team, you will play a critical role in leading quality assurance efforts for AI-driven and machine learning products, ensuring reliability and performance across innovative solutions.
Key Responsibilities
- Lead quality assurance processes for AI-based products.
- Analyze complex problems and provide impactful solutions.
- Mentor junior members to develop their capabilities.
- Maintain high standards in all project deliverables.
- Establish and sustain meaningful client relationships.
- Work collaboratively across teams to guarantee product dependability.
- Expand technical expertise in machine learning systems and AI.
- Effectively manage complex project challenges to ensure success.
Candidate Profile and Skills
- Bachelor’s degree in Computer Science, Data Science, or related discipline.
- Minimum of 4 years of experience in software testing or quality engineering roles.
- Proficiency in English, both spoken and written.
- Knowledge of programming languages such as Python, JavaScript, or Java with experience in testing frameworks like PyTest and Robot Framework.
- Understanding of AI and machine learning concepts and platforms including TensorFlow, PyTorch, MLflow, and SageMaker.
- Familiarity with MLOps toolsets such as Docker, Kubernetes, Airflow, Jenkins, and Azure ML.
- Experience with data validation frameworks like Great Expectations and Pandera.
- Hands-on expertise with automation testing tools (Selenium, Playwright, Cypress) and API testing tools such as Postman and REST Assured.
- Exposure to Generative AI, Natural Language Processing models, or Large Language Models.
Additional Information
PwC Acceleration Centers provide opportunities to engage in various services across Advisory, Assurance, Tax, and Business Services, working on challenging and innovative projects with a digitally enabled learning environment to enhance technical and professional skills. You will be encouraged to anticipate team and client needs, employ critical thinking in problem-solving, and uphold professional and firm standards including code of conduct and independence requirements.
Applicants are invited to send their CVs to the contact email provided by PwC.