IN_Senior Associate_ ML Engineer_GCC_Advisory_Bangalore

PwC is hiring an IN_Senior Associate_ ML Engineer_GCC_Advisory_Bangalore. Level rates it ; you can apply on Level.

AI in this role

Design, develop, and deploy scalable machine learning models and end-to-end ML pipelines at PwC.

pytorchtensorflowjaxawspython

ml-opsnlpai-researchmachine-learningmlopsetlfeature-engineeringmodel-training

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 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. "

Responsibilities: •Design & Develop ML Models: Build, train, evaluate, and optimize machine learning models to solve complex business problems.

End-to-End ML Pipelines: Design and implement scalable, production-grade ML pipelines—from data ingestion, feature engineering, and model training to deployment, monitoring, and retraining.

Production Deployment: Deploy ML models at scale using AWS services, ensuring low-latency, high-availability, and fault-tolerant systems.

Data Engineering: Work with large-scale structured and unstructured datasets; build ETL pipelines to prepare data for model training and inference.

Research & Innovation: Stay current with the latest ML/AI research, evaluate new techniques, and drive adoption of cutting-edge methodologies.

Operational Excellence: Own the end-to-end lifecycle of ML models including monitoring, alerting, debugging, and continuous improvement.

Documentation & Communication: Write clear technical documentation and effectively communicate results and trade-offs to both technical and non-technical stakeholders.

Mandatory skill sets: • Dynamics, AI, Selenium

Preferred skill sets: •

Programming: Strong proficiency in Python; experience with ML frameworks such as PyTorch, TensorFlow, or JAX.

ML Fundamentals: Solid understanding of supervised/unsupervised learning, deep learning, NLP, recommendation systems, and optimization techniques. Familiarity with MLOps practices—including CI/CD for ML, model versioning, feature stores, and automated retraining pipelines.

Data Skills: Experience with SQL and large-scale data platforms (e.g., Spark, Hadoop, Redshift, or equivalent).

Cloud & Infrastructure: Hands-on experience with AWS.

Software Engineering: Strong software development fundamentals, including data structures, algorithms, and system design.

Communication: Excellent written and verbal communication skills, with the ability to present complex technical concepts to senior leadership.

Years of experience required: Experience: 5+ years of professional experience in machine learning engineering or applied ML.

Education qualification: Education: Bachelor’s degree in Computer Science, Machine Learning, Statistics, Mathematics, or related quantitative field.

Education (if blank, degree and/or field of study not specified)

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

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Selenium (Software)

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?

Government Clearance Required?

Job Posting End Date

August 14, 2026

How we rate this

IN_Senior Associate_ ML Engineer_GCC_Advisory_Bangalore at PwC rates 90 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. Open the description and count.

Key facts

IN_Senior Associate_ 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 16, 2026.
Seniority: senior.
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

ML OpsNLPAI ResearchMachine learningMLOpsETLFeature EngineeringModel Training

Also common in machine learning engineer jobs at this level

LLM Generative AI C++Fine-tuning Kubernetes Reinforcement learning

Pay

Typical machine learning engineer job: $198k

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 monitor a model once it's live, and how do you know it needs retraining?
What NLP problem have you worked on, and how did you measure whether it actually worked?
Tell me about a research question you investigated. What did you find?
Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where mlops was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: ML Ops, NLP, AI Research, Machine learning, and MLOps. 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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