18 hours ago
Mumbai, IndiaMid Level / Senior
Responsibilities
- Build and deploy machine learning models for classification, regression, NLP, and computer vision use cases.
- Perform data exploration, feature engineering, model training, tuning, and performance evaluation.
- Collaborate with data engineers to develop robust data pipelines and integrate models into production systems.
- Work with clients to deliver AI/ML projects.
- Develop and deploy AI solutions on Azure, AWS, or GCP using MLOps and containerization.
- Contribute reusable assets, accelerators, and internal AI/ML capability building.
Requirements
- Require 3 to 8 years of AI/ML engineering experience, including work in a cloud environment.
- Require proficiency in Python, PyTorch or TensorFlow, and generative AI or agentic frameworks.
- Require hands-on experience with Azure ML, AWS SageMaker, or GCP Vertex AI.
- Require familiarity with FAISS or Pinecone, RAG pipelines, and prompt engineering.
- Require understanding of autonomous agents, orchestration, and multi-agent systems.
- Require strong communication and stakeholder management skills across geographies.
- Prefer cloud platform and AI/ML certifications, enterprise AI use-case exposure, and knowledge of Responsible AI, data governance, and compliance frameworks.
- Require a BE or B.Tech degree or another listed qualifying degree, with at least 60% marks.
Benefits
- PwC offers inclusive benefits, flexibility programmes, wellbeing support, mentorship, and opportunities for learning and growth.
Tech Stack
Categories
About PwC
PwC is a global network of professional services firms providing assurance, tax, and advisory work for businesses and public-sector clients. It sells project-based and managed consulting, audit, and deals services, and implements and integrates business applications. Formed in 1998 by the merger of Price Waterhouse and Coopers & Lybrand, it is headquartered in London and is one of the Big Four accounting firms.