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Bengaluru · On-site · 7-10 Yrs · Oct 6
27 open roles7 posted in 7d27 in 30d
Hiring: Engineering
Job description
Overview
Line of Service Advisory
Responsibilities
- Build end-to-end ML/AI pipelines (data → model → deployment → monitoring)
- Develop and deploy ML, Deep Learning, NLP, and GenAI models in production
- Design and implement RAG systems — retrieval, chunking, embeddings, vector search, and prompt engineering
- Build Agentic AI solutions — autonomous agents, multi-agent workflows, tool-calling, planning, and memory
- Build and optimize time series forecasting models (demand forecasting, inventory planning)
- Implement MLOps pipelines — CI/CD, model monitoring, drift detection, governance
- Optimize models for performance, cost, and latency
- Integrate AI systems with enterprise APIs, data platforms, and customer-facing applications
- Design scalable LLM inference architectures for efficient deployment
- Collaborate with data scientists, product managers, engineers, and business stakeholders in Agile teams
- Debug, optimize, and enhance ML models for quality and performance improvements
- Mentor team members and present technical findings to diverse audiences
- Stay current with AI/GenAI trends and evaluate emerging tools and frameworks
- Build end-to-end ML/AI pipelines (data → model → deployment → monitoring)
- Develop and deploy ML, Deep Learning, NLP, and GenAI models in production
- Design and implement RAG systems — retrieval, chunking, embeddings, vector search, and prompt engineering
- Build Agentic AI solutions — autonomous agents, multi-agent workflows, tool-calling, planning, and memory
- Build and optimize time series forecasting models (demand forecasting, inventory planning)
- Implement MLOps pipelines — CI/CD, model monitoring, drift detection, governance
- Optimize models for performance, cost, and latency
- Integrate AI systems with enterprise APIs, data platforms, and customer-facing applications
- Design scalable LLM inference architectures for efficient deployment
- Collaborate with data scientists, product managers, engineers, and business stakeholders in Agile teams
- Debug, optimize, and enhance ML models for quality and performance improvements
- Mentor team members and present technical findings to diverse audiences
- Stay current with AI/GenAI trends and evaluate emerging tools and frameworks
- Build end-to-end ML/AI pipelines (data → model → deployment → monitoring)
- Develop and deploy ML, Deep Learning, NLP, and GenAI models in production
- Design and implement RAG systems — retrieval, chunking, embeddings, vector search, and prompt engineering
- Build Agentic AI solutions — autonomous agents, multi-agent workflows, tool-calling, planning, and memory
Qualifications
- Java Selenium, Java Testing
- Optional Skills
- Desired Languages (If blank, desired languages not specified)
- Travel Requirements
- Not Specified
- Available for Work Visa Sponsorship?
- Government Clearance Required?
- Job Posting End Date
- July 22, 2026
Education
- Bachelor’s or
- Master’s degree in Computer Science, Engineering, or related field (60% above)
- Degrees/Field of Study required: Master of Engineering, Bachelor of Engineering
- Degrees/Field of Study preferred:
- Certifications (if blank, certifications not specified)
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Job application FAQ
Last updated 8 October 2026
- How do I apply for IN_Manager_AI/ML Engineer_GCC_Advisory_Bangalore at PwC India?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. PwC India may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this IN_Manager_AI/ML Engineer_GCC_Advisory_Bangalore role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is IN_Manager_AI/ML Engineer_GCC_Advisory_Bangalore remote or on-site in Bengaluru, Karnataka?
- This listing is marked on_site with location Bengaluru, Karnataka. Confirm details on the job description before applying.
- What skills matter for this IN_Manager_AI/ML Engineer_GCC_Advisory_Bangalore role at PwC India?
- Key skills for this role include skills listed in the job description. Upload a resume to see which requirements you already meet and which are gaps.