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/Machine Learning Engineer jobs
PwC

IN_Senior Associate_ML Engineer_GCC_Advisory_Bangalore

LocationBengaluru Millenia
Typefull-time
SenioritySenior
Experience3–10 yrs
DepartmentData, Analytics & AI
Company size10,000+ people
First seenOct 10, 2026 · 1d ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Must have11
7–10 years of expertise in designing, developing, and scaling enterprise-grade web applications
Strong hands-on experience in Java, Spring Boot, React.js, TypeScript, MongoDB
Experience with cloud technologies and modern DevOps practices
5-7 years of experience (Senior Engineer) OR 3+ years (Junior Engineer) in machine learning engineering
Strong proficiency in Python
React.js, Redux & TypeScript
Java & Spring Boot
REST API Development
MongoDB
AWS, Docker & Kubernetes
System Design & Architecture
Skills
Java
Spring Boot
React.js
TypeScript
MongoDB
AWS
Docker
Kubernetes
Python
PyTorch
TensorFlow
JAX
SQL
Spark
Hadoop
Redshift
Redux
Benefits
Health insurance
Mentorship
Line of Service
About the role
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.
About the company
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
Legal
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 Summary- Experienced Senior Full Stack Developer with 7–10 years of expertise in designing, developing, and scaling enterprise-grade web applications. The ideal candidate should have strong hands-on experience in Java, Spring Boot, React.js, TypeScript, MongoDB, cloud technologies, and modern DevOps practices. This role involves leading technical design, building high-performance applications, mentoring team members, and leveraging AI-assisted development tools to enhance productivity and code quality.
Responsibilities
Responsibilities: PwC - ML Engineer
Experience: Senior Engineer with 5-7 years and Junior Engineer with 3+ years of experience.
No of Positions: 4
Key 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.
Preferred Qualifications:
•
Education: Bachelor’s degree in Computer Science, Machine Learning, Statistics, Mathematics, or related quantitative field.
•
Experience: 5+ years of professional experience in machine learning engineering or applied ML.
•
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.
Requirements
Mandatory skill sets: • React.js, Redux & TypeScript • Java & Spring Boot • REST API Development • MongoDB • AWS, Docker & Kubernetes • System Design & Architecture
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