Data Scientist

Are you looking for an exciting opportunity as an AI/ML? Are you passionate about Data Science? We have an exciting role for you - AI/ML and Data Science Developer.

The Role

As an AI/ML and Data Science Developer, you are required to design, develop, and deploy AI/ML models and solutions, including LLMs and GenAI. You will also be responsible for the end-to-end design, development, and deployment of AI/ML models, as well as implementing advanced data science techniques to solve complex problems and drive innovation. In this role, you will collaborate with stakeholders to understand business and technical requirements and translate them into scalable AI/ML and data-driven solutions.

Key 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.
• 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.
• 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.
• 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.
• Develop and maintain comprehensive documentation for AI/ML pipelines, data workflows, and analytical processes.

Your Profile

Essential skills/knowledge/experience:

• Good 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.

Due to a high volume of applications, we will be unable to contact each applicant individually on the status of their application. If you have not received a direct response within 30 days, then it should be deemed unsuccessful on this occasion. Join us and do more of what matters. Apply online now.