Senior Data Scientist (Generative AI, Hybrid)

About the role

A Senior Data Scientist is sought with 3 to 7 years of experience in Data Science and Machine Learning, preferably in NLP, Generative AI, LLMs, MLOps, optimization techniques and AI solution architecture. The role focuses on designing and implementing AI models and systems, with a hybrid arrangement of 2 days in the office at the World Trade Center location. Only Sri Lankan candidates are eligible.

Key responsibilities

• Design and implement state-of-the-art AI solutions and assist in building AI models using LLMs and generative AI.
• Work with stakeholders to define AI project goals and tailor solutions to business needs.
• Integrate with APIs such as Azure OpenAI GPT and Hugging Face Transformers, and build end-to-end pipelines for data processing and model deployment.
• Use vector databases such as Redis and NoSQL databases, and similarity search techniques for efficient retrieval.
• Evaluate advanced techniques such as transfer learning, domain adaptation and model compression, and set metrics for output quality.
• 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 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: curation, cleaning and preprocessing.
• Good to have: MIP optimization, DevOps and MLOps, CI/CD, Docker, Kubernetes, Git, Terraform or CloudFormation, and IaC.