IN-Senior Associate_ AI/ML/Data Science _GCC_Advisory_ Bangalore
Salary not listed • Bengaluru Millenia • Full-time
Posted 5d ago
Job Location
Bengaluru Millenia
Tech Stack
Remote Work Policy
On-site
Employment Type
Full-time
Categories
Machine Learning Engineer
About the job
At PwC, our data and analytics engineering team leverages advanced technologies to design and develop robust data solutions for clients, transforming raw data into actionable insights to drive business growth. You will focus on designing and building data infrastructure and systems for efficient data processing and analysis, developing data pipelines, integration, and transformation solutions. This role is part of a purpose-led and values-driven work environment that drives innovation and allows you to make a tangible impact.
Responsibilities
- Build and deploy machine learning models for classification, regression, NLP, and computer vision.
- Conduct data exploration, feature engineering, model training, tuning, and performance evaluation.
- Collaborate with data engineers to develop data pipelines and integrate models into production systems.
- Work with clients to deliver projects in the AI/ML space.
- Contribute to reusable assets, accelerators, and internal capability building.
- Develop and deploy AI solutions on cloud platforms (Azure/AWS/GCP) using MLOps and containerization.
Requirements
- 3+ years of experience in AI/ML engineering, with experience in a cloud environment.
- Proficiency in Python, PyTorch/TensorFlow, and GenAI/Agentic frameworks.
- Hands-on experience with cloud-native AI services (Azure ML, AWS SageMaker, GCP Vertex AI).
- Familiarity with vector databases (e.g., FAISS, Pinecone), RAG pipelines, and prompt engineering.
- Strong understanding of autonomous agents, orchestration, and multi-agent systems.
- Excellent communication and stakeholder management skills across geographies.
- Bachelor of Engineering degree or equivalent.