Job Description
***** Sponsorship Available for this role *****
Responsibilities:
- Design, develop, and deploy AI/ML models and solutions, including LLMs and GenAI.
- Perform feature engineering and selection to optimize model performance.
- Select and implement appropriate AI/ML algorithms, including supervised, unsupervised, and reinforcement learning models.
- Train, evaluate, and optimize models using machine learning and statistical techniques.
- Conduct extensive data exploration, analysis, and preprocessing to ensure data quality for AI/ML applications.
- Develop and apply data science methodologies to extract insights from large-scale structured and unstructured datasets.
- Deploy models to production environments, ensuring robustness and scalability.
- Monitor model performance and define strategies for identifying drift; retrain or refine models as needed.
- Collaborate with cross-functional teams to integrate AI/ML models with business applications and systems.
- Utilise predictive analytics, time series forecasting, and statistical models to drive business decision-making.
- Stay updated on the latest advancements in AI/ML and data science technologies.
- Lead and mentor junior team members.
- Develop and maintain comprehensive documentation for AI/ML pipelines, data workflows, and analytical processes.
Qualifications:
- 5+ years of experience in AI/ML development and data science.
- Strong understanding of AI/ML algorithms and techniques, including LLMs, GenAI, and automated AI systems.
- Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and data science libraries (e.g., NumPy, pandas, scikit-learn).
- Proficiency in Python, R, or other relevant programming languages.
- Proficiency in working with large datasets, data wrangling, and data preprocessing.
- Experience in data science, statistical modelling, and data analytics techniques.
- Experience with data analysis and visualization tools (e.g., Matplotlib, Seaborn, Tableau).
- Ability to work independently and lead projects from inception to deployment.
- Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, GCP, Azure) is desirable.
- MSc or PhD in Computer Science, Data Science, Artificial Intelligence, or related field is preferred.