IN_Manager _AI Architect_GCC_ Advisory_ Hyderabad

PwC India; Hyderabad; Sur place; INR 4 000 000 - 7 000 000; Plein temps

Résumé du poste

PwC India seeks an experienced data and analytics engineer to design and implement robust AI/ML data solutions, transforming raw data into actionable insights for clients and enabling informed decisions. You will develop scalable AI/ML pipelines, models, and APIs, leveraging MLflow, SageMaker, VertexAI and AzureAI, and applying DevOps and LLM orchestration.

Langchain and Langgraph skills are highly valued. You will collaborate across data engineering, experimentation, and deployment phases to

Qualifications

• 7-11 years of experience in data/analytics engineering or related field.
• Masters/MBA or BE as stated in education requirements.
• Strong experience designing RAG/LLM pipelines and model management.

Responsabilités

• Design RAG/LLM pipelines for experiment management, model management, feature management, and model retraining.
• Design APIs for model inferencing at scale.
• Proven expertise with MLflow, SageMaker, VertexAI, and AzureAI.
• LLM Serving & GPU Architecture: Deep knowledge of GPU architectures, distributed training, and serving of large language models.
• Model Fine-Tuning & Optimization: Improve latencies, accuracies, and reduce resource requirements for fine-tuning LLM/LVM models.
• DevOps & LLMOps Proficiency: Kubernetes, Docker, Container Orchestration, and LLM orchestration frameworks (Flowise, Langflow, Langgraph).

Connaissances

Langchain

Langgraph

Formation

Master of Engineering

Master of Business Administration

Bachelor of Engineering

Outils

MLflow

SageMaker

VertexAI

AzureAI

Kubernetes

Docker

Description du poste

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 artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation.

Why PWC

At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes forour 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 foreach 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 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…. A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.

Responsibilities

Key Responsibilities

• Design RAG/LLM pipelines for experiment management, model management, feature management, and model retraining.
• Design APIs for model inferencing at scale.
• Proven expertise with MLflow, SageMaker, VertexAI, and AzureAI.
• LLM Serving & GPUArchitecture: Deep knowledge of GPUarchitectures, distributed training, and serving of large language models.
• Model Fine-Tuning & Optimization: Improve latencies, accuracies, and reduce resource requirements for fine-tuning LLM/LVM models.
• DevOps & LLMOps Proficiency: Expertise in Kubernetes, Docker, Container Orchestration, and LLM orchestration frameworks (Flowise, Langflow, Langgraph).

Mandatory skill sets

• Langchain, Langgraph

Preferred skill sets

• Databases/Datawarehouse: DynamoDB, Cosmos, MongoDB, RDS, MySQL, PostgreSQL, Aurora, Spanner, BigQuery

Years of experience required

7-11

Education

Degrees/Field of Study required: Master of Engineering, Master of Business Administration, Bachelor of Engineering

Degrees/Field of Study preferred:

Required Skills

SAP Business Warehouse

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, AI Fluency, AI-Human Collaboration, AI Implementation, Analytical Thinking, C++ Programming Language, Coaching and Feedback, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Digital Tooling, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion {+ 33 more}