IN_Senior Associate_ AI/ML Engineer _GCC_Advisory_Bangalore

PwC is hiring an IN_Senior Associate_ AI/ML Engineer _GCC_Advisory_Bangalore. Level rates it ; you can apply on PwC.

Level's read on this job

On Level's scale, this machine learning engineer role is Builds AI ●●●●: the job is building AI systems.
PwC mentions visa sponsorship in this posting.
Tools and skills the posting cites include LangChain, Hugging Face and vLLM.
Level lists 3,800+ other open roles at PwC.
The role was posted in the last few days.

AI in this role

langchainhugging-facevllmpytorchtensorflowmlflow

prompt-engineeringragfine-tuningml-ops

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 business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.

*Why PWC

At 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. "

Job Description & Summary: 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 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:

We are seeking an experienced Data Scientist (AI/ML) with over 4-8 years of experience specializing in Artificial Intelligence (AI) and Machine Learning (ML) to join our team. This is a position with hybrid work environment, providing flexibility and collaboration opportunities. The successful candidate will play a pivotal role in shaping and leading AI/ML initiatives within our organization.

• Advanced proficiency in Python.

• Extensive experience with LLM frameworks (Hugging Face Transformers, LangChain) and prompt engineering techniques

• Experience with big data processing using Spark for large-scale data analytics

• Version control and experiment tracking using Git and MLflow

• Software Engineering & Development: Advanced proficiency in Python, familiarity with Go or Rust, expertise in microservices, test-driven development, and concurrency processing.

• DevOps & Infrastructure: Experience with Infrastructure as Code (Terraform, CloudFormation), CI/CD pipelines (GitHub Actions, Jenkins), and container orchestration (Kubernetes) with Helm and service mesh implementations.

• LLM Infrastructure & Deployment: Proficiency in LLM serving platforms such as vLLM and FastAPI, model quantization techniques, and vector database management.

• MLOps & Deployment: Utilization of containerization strategies for ML workloads, experience with model serving tools like TorchServe or TF Serving, and automated model retraining.

• Cloud & Infrastructure: Strong grasp of advanced cloud services (AWS, GCP, Azure) and network security for ML systems.

• LLM Project Experience: Expertise in developing chatbots, recommendation systems, translation services, and optimizing LLMs for performance and security.

• General Skills: Python, SQL, knowledge of machine learning frameworks (Hugging Face, TensorFlow, PyTorch), and experience with cloud platforms like AWS or GCP.

• Experience in creating LLD for the provided architecture.

• Experience working in microservices based architecture

At least 4+ years of total & relevant experience in AI/ML or a related field.

• Deep understanding of ML and LLM development lifecycle, including fine-tuning and evaluation

• Expertise in feature engineering, embedding optimization, and dimensionality reduction

• Advanced knowledge of A/B testing, experimental design, and statistical hypothesis testing

• Experience with RAG systems, vector databases, and semantic search implementation

• Proficiency in LLM optimization techniques including quantization and knowledge distillation

• Understanding of MLOps practices for model deployment and monitoring

prior experience in industries leveraging AI/ML technologies would be advantageous.

Mandatory skill sets:

GenAI / LLM Engineers

(Python, FastAPI, Microservices, K8s, RAG, VectorDBs)

preferred skill sets :

AI/ML

Machine Learning

GEN AI

Agentic AI

Years of experience required:

4-8 Years

Education qualification:

B.Tech / M.Tech / MCA/MBA

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

Spark SQL

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, AI Fluency, AI-Human Collaboration, Analytical Thinking, Applied Macroeconomics, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Digital Tooling, Embracing Change {+ 27 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

May 18, 2026

How we rate this

IN_Senior Associate_ AI/ML Engineer _GCC_Advisory_Bangalore at PwC rates 96 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

IN_Senior Associate_ AI/ML Engineer _GCC_Advisory_Bangalore is an open job at PwC.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in Bengaluru Millenia.
The job was posted on October 22, 2026.
Seniority: mid.
Applications are handled by PwC. Apply on PwC

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Prompt engineeringRAGFine-tuningML OpsLangChainHugging FacevLLMPyTorch

Also common in machine learning engineer jobs at this level

Deep learning C++Reinforcement learning Java scikit-learn NLP

Pay

Typical machine learning engineer job: $195k

This posting doesn't list pay. Use the typical machine learning engineer figure when pay comes up. See machine learning engineer jobs

Questions you could be asked

How do you structure and test a prompt to get consistent output from a language model?
How would you design a retrieval step so the model answers from real data instead of guessing?
Walk me through fine-tuning a model: what data did you use, and how did you check the result?
How do you monitor a model once it's live, and how do you know it needs retraining?
Walk me through how you've used LangChain in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Prompt engineering, RAG, Fine-tuning, ML Ops, 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.

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