- Develop robust and scalable data pipelines.
- Collaborate with cross-functional teams to develop and deploy Machine Learning models and algorithms to solve business challenges and create opportunities.
- Contribute to the development of our clients in-house Machine Learning operations framework.
- Support the data science and analytics team in deploying pipelines.
- Coach and mentor the team to improve development standards.
- Strong hands-on experience with Databricks, Spark, SQL or Scala.
- Proven experience designing and building data solutions on a cloud based, big data distributed system (AWS/Azure etc.)
- Hands-on software development experience with Python/Release engineering practices sch as CI/CD.
- Experience deploying/monitoring machine learning models and following best practices.
- The Ability to develop pipelines using SageMaker, MLFlow or similar frameworks.
- Strong experience with data programming frameworks such as Apache Spark.
- Understanding of common Data Science and Machine Learning models, libraries and frameworks.