AI Data Scientist

SUMMARY:
Calling all AI explorers! Join a cutting-edge lab where your GenAI models shape the future.
From LLMs to data pipelines, you’ll help build intelligence that evolves.

POSITION INFO:

A leading tech-driven organisation is on the hunt for a Generative AI/Data Science specialist to join their innovation lab. This role blends deep AI model development with strong data engineering fundamentals. You’ll be focused on building and refining LLM-powered solutions, with an emphasis on RAG (Retrieval Augmented Generation) frameworks using tools like LangChain and LlamaIndex
Expect to partner closely with data engineers to ensure clean, scalable data pipelines, work on ETL processes and dimensional models, and deploy AI models into live environments with performance and scalability in mind. You’ll also play a key role in experimenting with new GenAI techniques, supporting MLOps efforts, and communicating findings to both technical and non-technical stakeholders

Skills & Experience:
Minimum 3+ years’ experience in AI/ML, with at least 1–2 years specifically in Generative AI
Proficiency with Python, SQL, and libraries like Pandas and NumPy
Practical experience with LangChain, LlamaIndex, or other LLM ecosystems
Strong background in ETL, data engineering, and dimensional modelling
Experience working across cloud platforms (AWS, Azure, or GCP)
Familiarity with Docker, Kubernetes, and model deployment best practices
Exposure to vector databases, Spark, or Hadoop is advantageous
Confident communicator who can translate complex AI concepts into actionable insight      

Qualification:
Bachelor’s or Master’s in Computer Science, Data Science, Machine Learning or related
Preferred certifications (not required but advantageous):
AWS Certified Machine Learning / AI Practitioner
GCP Professional ML Engineer / Associate Cloud Engineer
Microsoft Azure AI Engineer / Data Scientist
 
If you’re ready to join a team where innovation isn’t extinct and your AI models will thrive, get in touch for a confidential chat.
Because in this world, it’s not about surviving the data jungle—it’s about engineering the future of intelligence.
 
Contact Kauthar Marcus on or , quoting the Ref: CTI005561.
 
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