Job description
- Holds a Bachelor's or Master's degree in AI/ML or Data Science, with a demonstrated ability to design and build machine learning models.
- Possesses 8+ years of experience across software development, data science, and machine learning, including at least 3+ years in AI engineering roles.
- Proven expertise in the full ML lifecycle-data preparation, model development, deployment, and ongoing monitoring.
- Strong proficiency in Python and solid understanding of AI/ML techniques, including LLMs and libraries such as pandas, scikit-learn, TensorFlow, and PyTorch.
- Hands-on experience with LLM orchestration frameworks such as LangChain, LangGraph, vLLM, or LMDeploy.
- Strong knowledge of NoSQL databases experience with graph databases is an added advantage.
- Familiarity with MLOps platforms like MLflow, Airflow, Kubeflow, or equivalent tools.
- Experience working with cloud platforms (GCP or AWS) for AI solutioning and ML deployment.
- Knowledge of core data science methods, including supervised/unsupervised learning, NLP, and timeseries analysis.
- Experience building and managing CI/CD pipelines, as well as containerization using Docker and Kubernetes.
- Strong understanding of AI governance, model risk management, and relevant regulatory frameworks.
- Ability to convey complex technical ideas to stakeholders without technical backgrounds.
EA Registration Number: R1551322
Data provided is for recruitment purposes only
Business Registration Number: 200611680D. Licence Number: 10C5117
