AI Engineer
About the role
As an AI Engineer at EY Sri Lanka, you will collaborate with key decision-makers to design and implement AI solutions using advanced technologies, including Generative AI and large language models. The role involves building, integrating, and deploying scalable AI systems, maintaining model pipelines, and ensuring best practices in MLOps. You will work with cross-functional teams to translate business requirements into technical solutions and ensure AI systems meet standards for accuracy, reliability, and ethics. The position offers opportunities for growth, global exposure, and working in a purpose-led environment.
Must have
- 5+ years of hands-on experience in AI/ML engineering or applied machine learning roles.
- Strong programming skills in Python (required) and familiarity with AI/ML libraries such as: TensorFlow, PyTorch, Scikit-learn, Keras, XGBoost, LightGBM
- Deep understanding of machine learning concepts including: Feature engineering, model evaluation, hyperparameter tuning, cross-validation, interpretability
- Experience with modern AI platforms and frameworks, such as: Hugging Face Transformers, LangChain or similar LLM orchestration frameworks, Vector databases (Pinecone, Weaviate, FAISS, ChromaDB)
- Hands-on experience with cloud-based ML platforms (one or more): Azure: ML Studio, Cognitive Services, OpenAI Services, AWS: SageMaker, Rekognition, GCP: Vertex AI, BigQuery ML
- Experience monitoring and optimizing cloud resource usage and costs using cost management and performance profiling tools
- Experience applying MLOps/DevOps practices - including automated testing, CI/CD (Azure DevOps/GitHub Actions), containerization (Docker)
- Familiarity with front-end frameworks (React) for building lightweight user interfaces and integrating seamlessly with AI back-ends
- Experience with Generative AI applications (NLP, chatbots, multimodal AI, RAG pipelines)
- Knowledge of deep learning architectures (CNNs, RNNs, Transformers)
- Experience with containerization and DevOps tools: Docker, Kubernetes, GitHub Actions, Terraform
- Familiarity with model governance frameworks and ethical AI compliance
- Knowledge of experimentation/tracking tools such as: MLflow, Weights & Biases, Neptune.ai
- Bachelor’s or master’s degree in AI, Machine Learning, Data Science, IT, Statistics, Engineering, Computer Science, or related fields.
- Relevant certifications such as: Azure AI Engineer Associate, AWS Machine Learning Specialist, OpenAI, Hugging Face, or Nvidia-based certifications, Google Professional Machine Learning Engineer, Databricks Machine Learning Professional
Technologies
- AWS
- Azure
- Azure DevOps
- BigQuery
- ChromaDB
- CI/CD
- Data Science
- Databricks
- Deep Learning
- DevOps
- Docker
- FAISS
- Feature Engineering
- GCP
- Generative AI
- GitHub
- GitHub Actions
- Hugging Face
- Keras
- Kubernetes
- LangChain
- LLM
- Machine Learning
- MLflow
- MLOps
- Model Evaluation
- NLP
- OpenAI
- Pinecone
- Python
- PyTorch
- RAG
- React
- Responsible AI
- SageMaker
- scikit-learn
- Statistics
- TensorFlow
- Terraform
- Test Automation
- Transformers
- Vector Databases
- Vertex AI
- Weaviate
- XGBoost
Highlights
Applicants must submit their resume with two unrelated referees to careers@lk.ey.com, specifying 'AI Engineer position' in the application. The application deadline is December 31, 2025. Growth and learning opportunities, global exposure, and purpose-led work are notable benefits.
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