AI & Data Scientist
Role Overview
Experienced Data Science and AI Engineer role focused on scalable AI/ML solutions from data ingestion through deployment and production monitoring.
Requires expertise in forecasting, predictive analytics, machine learning, generative AI, and data engineering.
Key Skills for This Role
Full Job Posting
Job Summary
Experienced Data Science and AI Engineer role focused on scalable AI/ML solutions from data ingestion through deployment and production monitoring.
Requires expertise in forecasting, predictive analytics, machine learning, generative AI, and data engineering.
Experience and Education
- Requires 5+ years of experience in data science, machine learning, AI, or related fields.
- Bachelor's or master's degree in data science, computer science, engineering, statistics, or a related field.
Key Responsibilities
- Develop and deploy machine learning, 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 GPT, Claude, Gemini, Llama, and Mistral.
- Deploy, monitor, and optimize models using MLOps best practices.
- Translate business problems into AI-driven solutions with business and technology teams.
Key Skills
- Python, SQL, PySpark, and Databricks.
- Azure, Azure Machine Learning, and MLflow.
- Machine learning, deep learning, and statistical modelling.
- Time-series forecasting and predictive analytics.
- Generative AI and large language models.
- Data engineering, MLOps, model deployment, monitoring, and optimization.
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