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Senior AI Engineer (Data Scientist) - Generative AI

EY · Colombo

New
Senior 🇬🇧 English
Python TensorFlow PyTorch BERT Azure AWS GCP Redis NoSQL Docker Kubernetes Git Terraform

Job description

About the role

EY GDS (Data and Analytics) is looking for a Senior Data Scientist with a minimum of 3 to 7 years of experience in data science and machine learning, preferably with NLP, generative AI, LLMs, MLOps, optimization techniques and AI solution architecture. The role focuses on designing and implementing AI solutions, including generative AI, and is based in Colombo.

Key responsibilities

  • Contribute to the design and implementation of state-of-the-art AI solutions and assist in developing AI models and systems using LLMs and generative AI.
  • Work with stakeholders to identify business opportunities and define AI project goals, and stay up to date with advances in generative AI.
  • Integrate with APIs and libraries such as Azure OpenAI GPT models and Hugging Face Transformers, and implement end-to-end pipelines for data processing and model deployment.
  • Use vector databases such as Redis and NoSQL databases, and implement similarity search to retrieve information from generative AI outputs.
  • Research techniques such as transfer learning, domain adaptation and model compression, and set evaluation metrics for AI outputs.
  • Curate, clean and preprocess large datasets, and ensure data privacy, security and ethical compliance.

Required profile

  • Bachelor's or Master's degree in Computer Science, Engineering or a related field; a Ph.D. is a plus.
  • Minimum 3-7 years of experience in data science and machine learning.
  • Strong collaboration with software engineering and operations teams, and excellent problem-solving and communication skills.

Required skills

  • Python, R, TensorFlow or PyTorch; NLP frameworks such as BERT, GPT or Transformer models.
  • Cloud platforms such as Azure, AWS or GCP.
  • Data engineering: data curation, cleaning and preprocessing.
  • Good to have: MIP optimization, CI/CD pipelines, Docker, Kubernetes, Git, Terraform or CloudFormation, and DevOps/MLOps practices.

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Published 3 hours ago

Expires 1 month from now

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EY

Colombo