BSc / BEng Computer Science, Math, EngineeringMinimum 8+ years of experience in a similar roleDevelop, test and maintain high-quality software using PythonDesign and implement RESTful APIsDesign and implement efficient machine learning and data pipelines on AzureDevelop CI / CD workflowsEstablish efficient and automated processes for large scale data analysis of unstructured and structured dataImplement MLOps processes for continuous improvement in the model lifecycleSupport development of monitoring and re-training procedures for models in productionStay up to date with the latest advancements in data science techniquesWork closely with an international team of Data Scientists, Machine Learning and Software Engineers
Must have technical skill
- Very strong understanding of Python and its core libraries
- Proficiency in designing and developing APIs with experience in at least one of major frameworks (FastAPI, GraphQL, Django, or Flask)
- Experience with Deep Learning frameworks like TensorFlow and PyTorch
- Good understanding of DevOps tools and technologies such as Kubernetes, GitOps, CI / CD
- Experience with developing and deploying Machine Learning solutions
Good to have technical skills
- Solid knowledge of Data Science and Deep Learning core skills.
- Good understanding of modern MLOps best practices
- Experience with cloud provider solutions, especially Azure
- Experience with building pipelines on Azure Machine Learning
- Basic understanding of networking and security practices on cloud
- Experience with task queue such as Celery
- Knowledge of SQL and NoSQL database
Skills Required
MLops, Sql, Nosql, Azure, Machine Learning, Kubernetes