In-senior Associate_ai/ml Engineer __data & Analytics _ Advisory _bangalorery _bangalore

PwC

Bangalore, India
Hybrid
Advanced proficiency in python
Llm frameworks (hugging face, langchain)
Big data processing using spark
Our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients

Job Summary

  • Our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients.
  • Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes.
  • 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.

Matching Summary

Our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients.

Skills & Requirements

Must-have

  • Advanced proficiency in Python
  • LLM frameworks (Hugging Face, LangChain)
  • Big data processing using Spark
  • Version control with Git and MLflow
  • Microservices, test-driven development
  • Infrastructure as Code (Terraform)
  • CI/CD pipelines (GitHub Actions)
  • Container orchestration (Kubernetes)
  • LLM serving platforms (vLLM, FastAPI)
  • Model quantization techniques
  • Vector database management
  • Containerization for ML workloads
  • Model serving tools (TorchServe)
  • Automated model retraining
  • Advanced cloud services (AWS, GCP, Azure)
  • Network security for ML systems
  • Developing chatbots and recommendation systems
  • SQL
  • Machine learning frameworks (Hugging Face, TensorFlow, PyTorch)
  • RAG systems, vector databases, semantic search
  • Knowledge distillation
  • MLOps practices for deployment and monitoring
  • GenAI / LLM Engineers (Python, FastAPI, Microservices, K8s, RAG, VectorDBs)

Nice-to-have

  • Leveraging advanced technologies and techniques
  • Transforming raw data into actionable insights
  • Developing and implementing advanced AI and ML solutions
  • Designing and optimizing algorithms, models, and systems
  • Mixing mind and machine to leverage data
  • Understanding and navigating risk
  • Gaining a competitive edge
  • Prior experience in industries leveraging AI/ML
  • AI/ML Machine Learning
  • GEN AI
  • Agentic AI

Key Requirements

  • 4-8 years of experience in AI/ML
  • 4+ years of total & relevant experience
  • Deep understanding of ML and LLM development lifecycle
  • Expertise in feature engineering, embedding optimization
  • Advanced knowledge of A/B testing
  • Experience in creating LLD for provided architecture
  • Experience working in microservices based architecture

Work Rights

Not specified

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