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PwC

IN_Senior Associate_Pega Developer _GCC_Advisory_Bangalore

LocationBengaluru Millenia
Typefull-time
SenioritySenior
Experience3+ yrs
DepartmentData, Analytics & AI
Company size10,000+ people
PostedOct 6, 2026 · 6d ago
Verified live7h ago
At a glanceSummarised by Seekless from the posting.
Must have13
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
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
Proven expertise in model fine-tuning and optimization techniques
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
Proficient in Python, SQL, Javascript
Gen AI, LLM, Huggingface, python, pytorch/tensor flow/keras, Langchain, Langgraph, Docker, Kunernetes
3+ years of experience required
Nice to have4
SQL, machine learning, data science
AWS Professional Solution Architect
AWS Machine Learning Specialty
Azure Solutions Architect Expert
Eligibility2
Available for work visa sponsorship? No
Government clearance required? No
Skills
Python
SQL
JavaScript
PyTorch
TensorFlow
Keras
Hugging Face
MLflow
SageMaker
Vertex AI
Azure AI
Langchain
Langgraph
LangFlow
Flowise
LlamaIndex
Docker
Kubernetes
DeepSpeed
vLLM
AWS
Azure
GCP
DynamoDB
Cosmos
MongoDB
RDS
MySQL
PostgreSQL
Aurora
Spanner
Google BigQuery
FluentD
Kibana
Grafana
Prometheus
Databricks
Line of Service
Advisory
Industry/Sector
Not Applicable
Specialism
Data, Analytics & AI
Management Level
Senior Associate
Job Description & 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 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 about us.
Legal
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 with in…
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: Master of Business AdministrationDegrees/Field of Study preferred:
Certifications (if blank, certifications not specified)
Required Skills
Databricks Platform
Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, AI Fluency, AI-Human Collaboration, 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 {+ 41 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
August 4, 2026
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