Senior Associate - Adobe Target Quality Assurance

PriceWaterhouseCoopers Pvt Ltd ( PWC )

Bengaluru/Bangalore

Not disclosed

Work from Office

Full Time

Min. 4 years

Job Details

Job Description

IN_Specialist 3_AI Engineer _Data and Analytics_Advisory_Bangalore

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Specialist

Job Description & Summary

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

Those in data and automation at PwC will focus on automating data internally using automation tools or software to streamline data-related processes within the organisation. Your work will involve automating data collection, data analysis, data visualisation, or any other tasks that involve handling and processing data.
*Why PWC
At 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 
.
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 firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. "

Job Description & Summary:  A Career within............

Responsibilities: 

 

  • 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, Javascript 

 

Mandatory skill sets: 

 

  • Gen AI,LLM, Huggingface, python,pytorch/tensor flow/keras, Langchain, Langgraph, Docker, Kunernetes 

Preferred skill sets: 

 

  • SQL,machine learning, data science 

Years of experience required: 

 

3+ 

Education qualification: 

 

BE/B.Tech/MBA/MCA 

 

 

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required: Bachelor of Engineering, Master of EngineeringDegrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Adobe Analytics

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, Alteryx (Automation Platform), Automation, Automation Framework Design and Development, Automation Programming, Automation Solutions, Automation System Efficiency, Business Analysis, Business Performance Management, Business Process Automation (BPA), Business Transformation, C++ Programming Language, Communication, Configuration Management (CM), Continuous Process Improvement, Daily Scrum, Data Analytics, Data Architecture Development, Data-Driven Insights, Data Ingestion, Data Reporting, Data Transformation {+ 29 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

June 23, 2026

Experience Level

Senior Level

Job role

Work location

Bengaluru Millenia, India

Department

Data Science & Analytics

Role / Category

Advertising & Creative

Employment type

Full Time

Shift

Day Shift

Job requirements

Experience

Min. 4 years

About company

Name

PriceWaterhouseCoopers Pvt Ltd ( PWC )

Job posted by PriceWaterhouseCoopers Pvt Ltd ( PWC )

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