We are seeking a highly skilled and motivated Junior MLOps Specialist to join our dynamic team. The ideal candidate will have expertise in Databricks with MLOps, strong proficiency in Python and SQL, and experience with APLD and HCP data. You will be responsible for developing, deploying, and maintaining machine learning models and data pipelines, ensuring they operate efficiently in production environments.
Key Responsibilities:
Develop, deploy, and maintain machine learning models and data pipelines using Databricks and MLOps practices.
Design and implement scalable data processing workflows and ETL pipelines.
Collaborate with data scientists, engineers, and stakeholders to understand requirements and deliver solutions.
Utilize Python and SQL for data manipulation, analysis, and model development.
Work with APLD (Anonymous Patient-Level Data) and HCP (Healthcare Professional) data to derive insights and support decision-making processes.
Monitor and optimize the performance of machine learning models in production environments.
Ensure best practices in version control, testing, and continuous integration/continuous deployment (CI/CD) for ML models.
Stay updated with the latest advancements in AI/ML and MLOps to continually improve processes and solutions.
Tech stack: Databricks with MLOps (expert), python, SQL, Domain : APLD & HCP data exp Data Science: knowledge of AI/ML