INSenior AssociatePython Fullstack DeveloperEmerging BusinessAdvisoryPune

Job Description & Summary:A career in PwC Emerging technology will provide you with a unique opportunity to help our clientsidentifyand prioritize emerging technologies that can help solve their business problems. We help clients design approaches to integratenew 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 onidentifyingand prioritizingemergingtechnologies breaking into new markets and preparing clients to get the most out of their emerging technology investments.

Responsibilities:

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

• Build robust APIs using DjangoFastAPI and for ML model serving and integration

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

• Design and build AI workflows usingLangChainandLangGraphframeworks

• 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)

• OptimizeML 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-levelproficiencyin Python with advanced concepts (decorators context managersmetaclasses async programming)

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

• Strong experience withLangChainandLangGraphfor 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

• Proficiencyin predictive analytics (forecasting classification regression) and prescriptive analytics (optimization simulation)

• Experience with for backend services

• Proficiencyin frontend UI frameworks (React Angular orStreamlit)

• Knowledge of HTML5 CSS3 and JavaScript/TypeScript

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

• Experience with vector databases (PineconeWeaviateChromaDB FAISS)

Preferred skill sets:

• Experience with ML frameworks (TensorFlowPyTorch Scikit-learnXGBoost)

• Knowledge ofMLOpspractices and tools (MLflow Kubeflow SageMaker)

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

• Proficiencywith 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)

• Proficiencywith 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:

4 to 8years

Education qualification:

BEBtech/Mtech/ MCA