AI Engineer
Ernst and Young1 day ago
Kochi, IndiaSenior
Responsibilities
- Design, develop, and implement advanced AI and machine learning models with minimal supervision.
- Deliver scalable, optimized, enterprise AI solutions end to end.
- Perform prompt engineering, fine-tuning, transfer learning, and optimization of AI, ML, GenAI, LLM, and Transformer-based deep learning models.
- Build AI agents, multi-agent systems, and LLM-based applications using agentic AI and retrieval-augmented generation techniques.
- Develop Python applications and APIs, including lightweight applications and model-serving services.
- Deploy models and applications using Docker and cloud platforms.
- Use NoSQL, SQL, and vector databases in AI solutions.
- Apply statistical methods, experimental design, testing methodologies, debugging, and MLOps practices.
- Collaborate with culturally diverse outsourced and onshore/offshore team members; some travel and work outside normal hours may be required.
Requirements
- Bachelor’s or master’s degree in Computer Science, Engineering, Mathematics, Data Science, or a related technical field.
- 5–7 years of professional experience delivering scalable AI or machine learning solutions.
- Hands-on experience with prompt engineering, fine-tuning, transfer learning, Transformer architectures, deep learning, LLMs, GenAI, and AI agents.
- Proficiency in Python and experience with Flask, FastAPI, TensorFlow, PyTorch, or Scikit-Learn.
- Experience with NLP tools and libraries including Word2Vec, NLTK, spaCy, BERT, GloVe, AutoGen, LangChain, and LangGraph.
- Experience with AWS, Google Cloud, or Azure, with Azure preferred.
- Experience creating Docker images and deploying containerized applications.
- Experience with NoSQL, SQL, vector databases, and MongoDB.
- Knowledge of supervised and unsupervised learning, statistics, classical statistical models, optimization, and experimental design.
- Experience with MLOps, CI/CD principles, GitHub Actions, testing, and debugging complex codebases.
- Familiarity with retrieval-augmented generation, AI agent platforms, and risk management for AI and ML applications.
Benefits
- Flexible work environment and a diverse, inclusive culture with globally connected teams.
- Opportunities for future-focused skills development and world-class experiences.
- Work with teams across EY’s global organization; some travel may be required and work outside normal hours may occasionally be necessary.
Tech Stack
Categories
About Ernst and Young
Ernst & Young (EY) provides audit/assurance, tax, consulting, strategy and transactions services to enterprises, financial institutions, and public‑sector clients. Structured as a global network of partner‑owned member firms, it sells professional services on a fee basis, including a dedicated Financial Services Organization for banking, insurance, and capital markets. Headquartered in London, EY was formed in 1989 from the merger of Ernst & Whinney and Arthur Young, and operates in 150+ countries.