Level

PwCPosted today

IN_Associate_Gen AI_GCC_Advisory_Bangalore

IN_Associate_Gen AI_GCC_Advisory_Bangalore at PwC scores 94 out of 100 on AI centrality, which makes it AI Level 4 of 4 (Builds AI) on this board. The level measures how much of the work is AI, not seniority.

Bengaluru MilleniaFull time

AI in this role

claudegeminillamalangchainllamaindexlanggraphhugging-facebedrockvertex-aivllmpytorchkeras+2
fine-tuning

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 PWCAt 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.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. "

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: Bachelor of Engineering, Master of Engineering

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Generative AI

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

September 18, 2026

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Fine TuningClaudeGeminiLlamaLangChainLlamaIndexLangGraphHugging Face

Questions you could be asked

  1. Walk me through fine-tuning a model: what data did you use, and how did you check the result?
  2. Walk me through how you've used Claude in your day-to-day work.
  3. What are the limits of Gemini that you've run into, and how did you work around them?
  4. What's a project where you used Llama hands-on?
  5. Walk me through how you've used LangChain in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Fine Tuning, Claude, Gemini, Llama, and LangChain. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

Want your resume actually rewritten for this job?

The free preview above is everything we have today. A full resume rewrite is not live yet and has no price set. Join the waitlist and we will email you if we open it.

Get new AI jobs at AI Level 4+ by email

One email a week with the new AI jobs at AI Level 4+, each rated AI Level 1 to 4 for how much AI is in the work. No recruiter spam, unsubscribe in one click.

Free. One email a week. Unsubscribe in one click.

Similar roles

Other roles rated AI Level 4 at other companies.

What kind of AI work fits you?

Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.

Find my next step

More jobs at PwC

Related searches

Same AI level

Apply on PwC