AI & Data Scientist

• Develop and deploy ML, predictive analytics, forecasting, and Generative AI solutions.
• Build scalable data pipelines and perform data preparation, feature engineering, and statistical analysis.
• Develop time-series forecasting, demand prediction, customer behaviour, and predictive maintenance models.
• Implement LLM-based solutions using models such as GPT, Claude, Gemini, Llama, and Mistral.
• Deploy, monitor, and optimise models using MLOps best practices.
• Collaborate with business and technology teams to translate business problems into AI-driven solutions.

Desired Candidate Profile

• Python, SQL, PySpark, Databricks
• Azure, Azure Machine Learning, MLflow
• Machine Learning, Deep Learning & Statistical Modelling
• Time-Series Forecasting & Predictive Analytics
• Generative AI / LLMs
• Data Engineering & MLOps
• Model Deployment, Monitoring & Optimisation

Education: Bachelor’s/Master’s degree in Data Science, Computer Science, Engineering, Statistics, or a related field.

Skills

Machine Learning

Data Engineering

Predictive Analytics