EYAI Engineer
About this role
The opportunity
We are looking for a mid-level AI engineer to play an integral role in our machine learning projects. This position requires designing, developing, and implementing advanced AI models with minimal supervision.
Your key responsibilities
- Bachelor's/Master's degree in Computer Science, Engineering, or a related technical field with a minimum of 5-7 years' experience.
- Should have been involved in end-to-end delivery of the scalable, optimized and enterprise AI solutions.
- Experience in performing prompt engineering and fine-tuning of the AI/ML, GenAI, LLM models & building Agents, Multi Agent System
- Practical hands-on fine-tuning/transfer learning/optimization of the Transformer architecture-based Deep Learning models.
- Experience in Agentic AI, Gen AI, LLM, NLP tools such as Word2Vec,, NLTK, SpaCy,BERT, GloVe,Autogen,Langchain, Langraph, etc.
- A working understanding of cloud platforms either of AWS, Google Cloud, or Azure
- Good programming skills in Python along with experiences with Python frameworks such as Flask for lightweight applications, and FastAPI for building APIs.
- Experience in Docker for deploying the containers.
- Experience in NoSQL/SQL databases/Vector Databases.
- Strong knowledge of statistical methods and experimental design.
- Experience with MLOps practices for CI/CD in machine learning.
Skills and attributes for success
- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Data Science, or related field
- Solid understanding of machine learning concepts, including supervised and unsupervised learning
- Proficiency in Python and experience with frameworks such as TensorFlow, PyTorch, or Scikit-Learn
- Experience setting up Docker images and utilizing NoSQL databases (e.g., MongoDB)
- Familiarity with Retrieval Augmented Generation and AI agent platforms
- Practical experience in testing methodologies and debugging complex codebases
- Understanding of CI/CD principles and tools like GitHub Actions
- Experience with cloud services (Azure preferred) for deploying models
- Hands-on experience developing and deploying LLM-based AI agents
Ideally, you’ll also
- Solid understanding of statistics, classical statistical models, and optimization techniques at a mid-career level
- Experience applying risk management concepts within AI and ML applications
What we look for
We want people who are self-starters, who can take initiative and get things done. If you can think critically and creatively to solve problems, you will excel. You should be comfortable working with culturally diverse outsourced on/offshore team members, which means you may need to work outside normal working hours. Some travel may be required.
What we offer you
At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel your extraordinary talents in a diverse and inclusive culture of globally connected teams.
EY | Building a better working world
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.
Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
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