Data/AI Engineer
Core
Design, build, and maintain scalable data pipelines, datasets, and AI-enabled capabilities to support business decision-making and digital transformation.
Role type
Data/AI Engineer
Builds
Data pipelines, analytical solutions, and AI-enabled capabilities
Domain
Technology and Transformation
Deliverable
production ML models | product features | infrastructure
Required skills
Python, SQL, data pipeline development, structured and unstructured data handling, generative AI, machine learning frameworks, cloud data platforms, data governance, security compliance
Preferred skills
scikit-learn, TensorFlow, Pytorch, Langchain, big data technologies
Technologies
Python, SQL, scikit-learn, TensorFlow, Pytorch, Langchain
Responsibilities
Design and maintain scalable data pipelines and data models; Develop and implement AI/machine learning models for prediction, classification, and automation; Develop generative AI solutions using large language models and prompt engineering; Integrate data from multiple sources ensuring quality and consistency; Collaborate with business analysts and product teams to translate requirements into technical solutions; Implement testing, validation, and monitoring for data accuracy and model performance; Optimize data processing and model performance for scalability; Produce technical documentation for data models and pipelines; Adhere to data governance, security, and privacy standards
Seniority
Mid-level to Senior, hands-on IC