IN-Manager _AI Architect __ GCC_ Advisory_ Noida

Pwc India; Dadri; Presencial; INR 4 000 000 - 7 500 000; Tempo integral

Resumo da oferta

PwC India is hiring an AI Architect to design ML pipelines for experiment and model management, and to develop APIs for scalable model inference. You will work with MLflow, SageMaker, Vertex AI, and Azure AI, and lead LLM deployment across GPU architectures, with DeepSpeed and vLLM for distributed training.

You will also drive DevOps/LLMOps practices, container orchestration with Kubernetes and Docker, and be versed in Flowise, Langflow, and Langgraph for orchestration.

Qualificações

• 3+ years of experience in data analytics or AI architecture.
• BE/B.Tech/MBA/MCA or equivalent degree.

Responsabilidades

• 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 with deep knowledge of GPU architectures.
• Expertise in distributed training and serving of large language models.
• Proficient in model and data parallel training using DeepSpeed and vLLM.
• Model fine-tuning and optimization to reduce training and resource requirements.
• DevOps and LLMOps practices; Kubernetes and Docker orchestration.
• Deep understanding of LLM orchestration frameworks like Flowise, Langflow, and Langgraph.

Conhecimentos

SQL

Machine learning

Data science

Formação académica

BE/B.Tech/MBA/MCA

Ferramentas

MLflow

SageMaker

Vertex AI

Azure AI

Kubernetes

Docker

Flowise

Langflow

Langgraph

DynamoDB

Cosmos

MongoDB

RDS

MySQL

PostgreSQL

Aurora

BigQuery

Descrição da oferta de emprego

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 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: AI Architect

Responsibilities

• 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
• Databases/Datawarehouse: DynamoDB, Cosmos, MongoDB, RDS, MySQL, PostGreSQL, Aurora, Spanner, Google BigQuery.
• Cloud Certifications (Bonus): AWS Professional Solution Architect, AWS Machine Learning Specialty, Azure Solutions Architect Expert

Mandatory skill sets

Preferred skill sets

• SQL,machine learning, data science

Years of experience required

3+

BE/B.Tech/MBA/MCA

Education

(if blank, degree and/or field of study not specified)Degrees/Field of Study required: Master of Business Administration

Degrees/Field of Study preferred:

Certifications

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, Coaching and Feedback, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Integration, Data Integrity {+ 46 more}

Desired Languages