Development and implementation of AI enabled automation solutions, ensuring alignment with business objectives.
Design and deploy Proof of Concepts (POCs) and Points of View (POVs) across various industry verticals, demonstrating the potential of AI enabled automation applications.
Ensure seamless integration of optimized solutions into the overall product or system
Collaborate with cross-functional teams to understand requirements, to integrate solutions into cloud environments (Azure, GCP, AWS, etc.) and ensure it aligns with business goals and user needs
Educate team on best practices and keep updated on the latest tech advancements to bring innovative solutions to the project
Technical Skills requirements
4 to 6 years of relevant professional experience Proficiency in Python and frameworks like PyTorch, TensorFlow, Hugging Face Transformers.
Strong foundation in ML algorithms, feature engineering, and model evaluation .
Strong foundation in Deep Learning, Neural Networks, RNNs, CNNs, LSTMs, Transformers (BERT, GPT), and NLP .
Experience with LangChain, LlamaIndex, LangGraph, AutoGen, or CrewAI .
Knowledge of retrieval augmented generation (RAG)
Knowledge of Knowledge Graph RAG
Experience with multi-agent orchestration, memory, and tool integrations
Experience/Implement MLOps practices and tools (CI/CD for ML, containerization, orchestration, model versioning and reproducibility).
Experience with cloud platforms (AWS, Azure, GCP) for scalable ML model deployment.
Good understanding of data pipelines, APIs, and distributed systems.
Build observability into AI systems — latency, drift, performance metrics.
Strong written and verbal communication, presentation, client service and technical writing skills in English for both technical and business audiences.
Strong analytical, problem solving and critical thinking skills.
Ability to work under tight timelines for multiple project deliveries.
What we offer
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.