IN_Senior Associate_Python Fullstack Developer_Emerging Business_Advisory_Bangalore

Job Description & Summary: A career in PwC Emerging technology will provide you with a unique opportunity to help our clients identify and prioritize emerging technologies that can help solve their business problems. We help clients design approaches to integrate new technologies, skills, and processes so they can drive business results and innovation. Our team helps organizations to embrace emerging technologies to remain competitive and improve their business by solving complex questions. Our team focuses on identifying and prioritizing emerging technologies, breaking into new markets, and preparing clients to get the most out of their emerging technology investments. 

Responsibilities: 

• Design, develop, and maintain AI/ML-powered applications using Python with primary focus on backend and ML implementation  

• Build robust APIs using Django, FastAPI, and Node.js for ML model serving and integration  

• Develop and implement Retrieval-Augmented Generation (RAG) systems and Agentic AI solutions  

• Design and build AI workflows using LangChain and LangGraph frameworks  

• Implement predictive and prescriptive analytics solutions for business use cases  

• Develop responsive frontend interfaces using modern UI frameworks  

• Deploy and manage ML models on cloud platforms (AWS, Azure, GCP, OpenShift Container Platform)  

• Optimize ML pipelines and ensure scalability of AI applications  

• Write comprehensive unit, integration, and end-to-end tests for AI/ML systems  

Mandatory skill sets: 

• 5+ years of overall software development experience with strong focus on Python development  

• Expert-level proficiency in Python with advanced concepts (decorators, context managers, metaclasses, async programming)  

• Hands-on experience with Django and FastAPI for building scalable web applications and APIs  

• Strong experience with LangChain and LangGraph for building AI agent workflows  

• Proven experience in implementing RAG (Retrieval-Augmented Generation) systems  

• Experience building Agentic AI applications and autonomous systems  

• Strong knowledge of Machine Learning and AI concepts with practical implementation experience  

• Proficiency in predictive analytics (forecasting, classification, regression) and prescriptive analytics (optimization, simulation)  

• Experience with Node.js for backend services  

• Proficiency in frontend UI frameworks (React, Angular, Vue.js, or Streamlit)  

• Knowledge of HTML5, CSS3, and JavaScript/TypeScript  

• Hands-on experience with cloud platforms (AWS, Azure, GCP, or OpenShift Container Platform)  

• Experience with vector databases (Pinecone, Weaviate, ChromaDB, FAISS)  

Preferred skill sets: 

• Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn, XGBoost)  

• Knowledge of MLOps practices and tools (MLflow, Kubeflow, SageMaker)  

• Experience with Large Language Models (LLMs) and prompt engineering  

• Proficiency with LLM orchestration frameworks and agent design patterns  

• Experience with data processing libraries (Pandas, NumPy, Polars)  

• Knowledge of containerization technologies (Docker, Kubernetes)  

• Experience with message brokers (Apache Kafka, RabbitMQ, Redis)  

• Proficiency with databases: SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis)  

• Strong experience with Git version control and branching strategies  

• Understanding of DevOps practices and CI/CD tools (Jenkins, GitLab CI, GitHub Actions)  

• Experience with API gateway technologies and microservices architecture  

• Knowledge of monitoring and observability tools (Prometheus, Grafana, ELK stack)  

• Experience with A/B testing frameworks for ML models  

• Familiarity with model interpretability and explainability tools (SHAP, LIME)  

Years of experience required: 

4 to 8 years  

Education qualification: 

BE, Btech / Mtech/ MCA