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    Job · 18128315

    Price Waterhouse Coopers logo

    IN_Senior Associate_AI Engineer_GCC_Advisory_Noida

    Price Waterhouse Coopers · Noida · onsite · Posted 36d ago

    Not disclosedFresherfulltimeSourced fromFoundit

    About a minute. You'll make an account on the way through.

    About this role

    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.

    .WhyPWC
    AtPwC, 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
    .
    AtPwC, 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 Engineer Level: Senior Associate Location: Noida,Bangalore Skill: Gen AI,LLM, Huggingface, python,pytorch/tensor flow/keras, Langchain, Langgraph, Docker, Kunernetes

    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: AI Engineer

    Years of experience required: 5-8 years

    Education qualification: B.Tech/MCA/BCA/M.tech

    Education

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

    Degrees/Field of Study preferred:

    Certifications

    Required Skills

    Generative AI

    Optional Skills

    Accepting Feedback, Accepting Feedback, Active Listening, 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, Data Modeling, Data Pipeline + 38 more

    Desired Languages

    Travel Requirements

    Not Specified

    Available for Work Visa Sponsorship

    No

    Government Clearance Required

    No

    Job Posting End Date

    August 25, 2026

    Sourced from foundit

    Skills

    DockerKubernetesAws SagemakerDeepspeedmlflowAzure Aikerasgoogle cloud platformamazon web servicesvLLMHugging Face TransformersLarge Language Models (LLMs)FlowiseLangflowGoogle Vertex AIPytorchTensorflowPythonJavascriptSQLMicrosoft AzureLanggraphLangchainGenerative AiLlamaindex

    About PwC

    Price Waterhouse Coopers logo

    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

    Employees rate it well for

    Job Security34Skill Development34

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