GDS Consulting Manager AI Engineer
Ernst and Young7 days ago
Colombo, Sri LankaStaff+
Responsibilities
- Design and implement state-of-the-art AI, generative AI, and machine learning solutions.
- Develop AI models and systems using LLMs, NLP, and generative AI techniques.
- Integrate Azure OpenAI GPT models, Hugging Face Transformers, APIs, and libraries.
- Build and optimize end-to-end data processing, model deployment, and generative AI pipelines.
- Use vector and NoSQL databases, including Redis, for large-scale AI datasets and outputs.
- Implement similarity search and retrieval techniques for generative AI outputs.
- Collaborate with stakeholders, clients, and domain experts to define requirements and tailor AI solutions.
- Research and evaluate transfer learning, domain adaptation, model compression, and other advanced AI techniques.
- Establish evaluation metrics for the quality, coherence, and relevance of AI outputs.
- Curate, clean, and preprocess large-scale datasets for generative AI applications.
- Ensure data privacy, security, fairness, transparency, accountability, and ethical considerations in AI systems.
- Support DevOps and MLOps practices, including deployment, monitoring, scaling, and integration with engineering and operations teams.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field; a Ph.D. is a plus.
- At least 8–11 years of experience in data science and machine learning.
- In-depth knowledge of machine learning, deep learning, and generative AI.
- Proficiency in Python, R, TensorFlow, or PyTorch.
- Strong understanding of NLP techniques and BERT, GPT, or Transformer models.
- Familiarity with computer vision, including image recognition, object detection, or image generation.
- Experience with Azure, AWS, or GCP and deploying AI solutions in cloud environments.
- Expertise in data curation, cleaning, preprocessing, and other data engineering practices.
- Knowledge of trusted AI, data privacy, security, and ethical AI practices.
- Experience collaborating with software engineering and operations teams to integrate and deploy AI models.
- Strong problem-solving, analytical, communication, collaboration, and stakeholder-management skills.
- A track record of innovation and awareness of current AI research and advancements.
- Experience with optimization techniques such as mixed integer programming is desirable.
- Familiarity with DevOps, MLOps, CI/CD, Docker, Kubernetes, Git, Terraform or CloudFormation, monitoring, and logging is desirable.
Tech Stack
AWSAzureDockerGitGoogle Cloud PlatformHugging Face TransformersKubernetesPythonPyTorchRRedisTensorFlowTerraform
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.