3 days ago
Hyderābād, IndiaSenior / Staff+
Responsibilities
- Build end-to-end ML and AI pipelines from data through model deployment and monitoring.
- Develop and deploy production ML, deep learning, NLP, and GenAI models.
- Design RAG systems involving retrieval, chunking, embeddings, vector search, and prompt engineering.
- Build autonomous agents and multi-agent workflows with tool-calling, planning, and memory.
- Develop and optimize time-series forecasting models for demand forecasting and inventory planning.
- Implement MLOps pipelines with model monitoring, drift detection, and governance.
- Optimize models and inference architectures for performance, cost, and latency.
- Integrate AI systems with enterprise APIs, data platforms, and customer-facing applications.
- Collaborate with data scientists, product managers, engineers, and business stakeholders.
- Debug and enhance models, mentor team members, present technical findings, and evaluate emerging AI tools and frameworks.
Requirements
- 7–12 years of experience is required.
- Bachelor’s or master’s degree in computer science, engineering, or a related field, with the posting specifying Bachelor of Technology or Bachelor of Engineering qualifications and 60% or above.
- Experience building and deploying production ML, deep learning, NLP, GenAI, RAG, agentic AI, forecasting, MLOps, and LLM inference systems.
- Experience integrating AI systems with enterprise APIs, data platforms, and customer-facing applications.
- Snowflake experience is required.
- Preferred capabilities include data analysis, big data, data integration, algorithm development, Alteryx, AI fluency, and technical communication.
Benefits
- Inclusive benefits, flexibility programs, mentorship, and wellbeing support are offered.
- The role is based in Hyderabad, India; travel requirements are not specified.
- The employer states that work visa sponsorship is not available.
Tech Stack
Snowflake
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.