Senior AI Engineer

POSITION PURPOSE

YOUR TASKS AND RESPONSIBILITIES

• AI Solution Development ​ Lead the design and development of innovative machine learning models and algorithms in cross-functional teams to effectively address specific business challenges. ​
• Lead the implementation of scalable AI products, ensuring alignment with user requirements and strategic business objectives. ​
• Leverage state-of-the-art cloud technologies (e.g., AWS, Azure, Google Cloud) to optimize the industrialization of machine learning models and AIsolutions for production deployment. ​ Provide expert operational support and guidance for machine learning models and algorithms, ensuring their reliability and performance in production environments. ​
• Data Engineering ​ Lead the architecture and design of robust, scalable data pipelines in collaboration with data engineers, cloud engineers, and data scientists, enhancing data access and processing capabilities. ​
• Lead data preprocessing, ingestion, and transformation activities across hybrid environments (both on-premises and cloud), ensuring adherence to best practices and organizational standards. ​
• Establish and promote advanced data quality assurance processes, including validation checks and proactive data drift detection mechanisms, to ensure data consistency and integrity. ​ ​
• Data Science ​ Mentor and guide team members in the model training process, focusing on industrialization through cloud technologies and achieving accuracy, reliability through experimentation and iterative improvements. ​
• Lead the evaluation and tuning of models, utilizing metrics and performance benchmarks to refine model parameters and enhance predictive capabilities. ​