2 jobs found

You will work closely with the Data Engineering team to ensure the deployment, integration, and scaling of these models within our data infrastructure. Experiment with a variety of algorithms and techniques to enhance model accuracy and performance. Collaborate with the data engineering team to guarantee that clean, well-structured data is available for model training and evaluation. Engage in rigorous testing and validation processes to ensure models are ready for scaling and integration across various business applications. Collaborate with the data engineering team to ensure that the necessary infrastructure and pipelines are in place to support machine learning initiatives. Make data-driven recommendations for model improvements and adapt to changes in data or business needs. Familiarity with AWS cloud services, particularly those relevant to data science and machine learning. Proficiency in data wrangling, feature engineering, and developing scalable machine learning solutions. Knowledge of deep learning techniques and their application to real-world problems.

Optimize ETL processes to ensure seamless data ingestion, processing, and integration across various systems. Ensure the integration of streaming data with batch processing systems for comprehensive data management. ) to build and manage our data infrastructure. Leverage the project management team to coordinate project, requirements, timelines and deliverables, allowing you to concentrate on technical excellence. Drive data governance initiatives, including data cataloguing, lineage tracking, and adherence to security and compliance standards. Familiarity with Databricks and the Delta Lakehouse concept. Familiarity with ML Ops practices and tools, with a desire to expand skills in this area. Knowledge of machine learning pipelines and their integration with data platforms.