AI Engineer - Casera

AI / Data Engineer

About the Role

We’re seeking a highly skilled AI / Data Engineer to design, build, and optimize data pipelines, machine learning infrastructure, and intelligent applications that turn complex data into actionable insights. You’ll collaborate closely with data scientists, ML engineers, and software developers to deploy scalable, production-ready AI systems and ensure data quality, observability, and performance across the stack.

Key Responsibilities

• Design and implement robust data ingestion and transformation pipelines (batch and streaming) using tools such as Airflow, Spark, Databricks, or AWS Glue.
• Develop and maintain ETL / ELT workflows for structured and unstructured data from multiple sources (APIs, event streams, databases, third-party services).
• Collaborate with data scientists to operationalize ML models, including feature engineering, model serving, and real-time inference pipelines.
• Deploy, monitor, and maintain machine learning models using MLflow, SageMaker, Vertex AI, or similar frameworks.
• Implement MLOps best practices, including CI / CD for model retraining, versioning, and testing.
• Optimize performance and scalability of data storage solutions (e.g., Redshift, BigQuery, Snowflake, or Delta Lake).
• Ensure data quality, lineage, and governance through monitoring, validation, and documentation.
• Contribute to infrastructure-as-code (IaC) setups for reproducible deployments using Terraform, CDK, or CloudFormation.
• Collaborate with cross-functional teams to support AI-driven analytics, dashboards, and decision intelligence applications.

Qualifications

Nice to Have

What We Offer