AI/ML and Data Science Developer

We are seeking a highly motivated and experienced Senior AI/ML Developer and Data Scientist to join our team at the forefront of designing cutting-edge solutions in the Telco industry.
In this role, you will 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.
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.
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.
Key skills/knowledge/experience:

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.

#J-18808-Ljbffr