Senior Associate – ML Engineer, Advisory

Overview

Senior Associate role in PwC's Data, Analytics & AI specialism within Advisory, focused on building and deploying machine learning models that solve complex business problems for clients.

What you'll do

• Build, train, evaluate, and optimize machine learning models to solve complex business problems.
• Design and implement scalable, production-grade ML pipelines, from data ingestion, feature engineering, and model training to deployment, monitoring, and retraining.
• Deploy ML models at scale using AWS services, ensuring low-latency, high-availability, and fault-tolerant systems.
• Work with large-scale structured and unstructured datasets and build ETL pipelines to prepare data for model training and inference.
• Stay current with the latest ML/AI research, evaluate new techniques, and drive adoption of cutting-edge methodologies.
• Own the end-to-end lifecycle of ML models, including monitoring, alerting, debugging, and continuous improvement.
• Write clear technical documentation and communicate results and trade-offs to both technical and non-technical stakeholders.

What you'll need

• Mandatory skill: Dynamics, AI, Selenium.
• 5+ years of professional experience in machine learning engineering or applied ML.
• Bachelor's degree in Computer Science, Machine Learning, Statistics, Mathematics, or related quantitative field.
• Required degrees/fields of study: Master of Engineering, Bachelor of Engineering.

Nice to have

• Strong proficiency in Python, with experience in ML frameworks such as PyTorch, TensorFlow, or JAX.
• 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.
• Experience with SQL and large-scale data platforms (e.g., Spark, Hadoop, Redshift, or equivalent).
• Hands-on experience with AWS.
• Strong software development fundamentals, including data structures, algorithms, and system design.
• Excellent written and verbal communication skills, with the ability to present complex technical concepts to senior leadership.

Details

• Location: Bengaluru Millenia.
• Employment is in the Advisory line of service; visa sponsorship is not offered and no government clearance is required.
• Job posting end date: August 14, 2026.