Teams at Trans Ova

Lead the design, development, deployment, and monitoring of production AI/ML applications for dairy-farm intelligence. Responsibilities include data wrangling, feature engineering, model selection, experimentation, MLOps, agent evaluation, observability, fine-tuning, AI governance, and integration with cloud infrastructure. The role also drives AI adoption, establishes engineering practices, collaborates cross-functionally, and may build React and TypeScript user experiences.

Designs, develops, and maintains Databricks-based ETL pipelines, data integration solutions, data warehouses, and reporting datasets. Builds batch and streaming architectures using Python, Spark, SQL, and Delta Lake; optimizes performance and costs; migrates legacy SSIS and SQL Server processes; maintains SSRS reports; implements data quality controls; and collaborates with business and technical teams supporting analytics and AI/ML workloads.

Leads end-to-end architecture for cloud applications and platforms, including landing zones, developer platforms, security, governance, cost optimization, data platforms, integrations, observability, resilience, and modernization. Partners with engineering, security, product, data, and enterprise architecture teams to establish standards, guide implementation, review designs, and lead migration initiatives. Provides technical mentorship and promotes cloud-native, platform engineering, SRE, and engineering best practices.