BENGALURU · FULLTIME
Manager _AI Architect __ GCC_ Advisory
Price Waterhouse Coopers
Bengaluru · onsite · Posted 4d ago
Sourced from
Undisclosed10–15 yrsfulltimeBengaluru
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Section · 01
About this role
Job Summary
Responsibilities
Preferred Skill Sets
Experience
Education
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Job Description Summary: AI Architect
.
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.
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
Experience
- 3+
Education
- BE/B.Tech/MBA/MCA
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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Section · 02
Skills
AutomationBedrockAlgorithm developmentclaudeAuroracloud certificationsAzure Aiapisaws bedrockamazon web servicesbigqueryalteryxbusiness dataAnalyticsContainercloudArchitectureAdvanced AnalyticsAdministrationMicrosoft AzureBig DataArtificial Intelligence
Section · Company
About PwC
Price Waterhouse Coopers
Management Consulting
30k+
employees
1880
146 years old
Bangalore / Bengaluru, Karnataka
India
₹18.4L PA avg
Avg at PwC
About
PwC is a community of solvers combining human ingenuity, experience, technology, and products to help organizations build trust and deliver sustained outcomes.
Industries
Management ConsultingAccounting & Auditing
Employee ratings
10 reviews
3.3/ 5
Culture
2.7
Career growth
2.3
Work-life
1.9
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