AGCO is looking to solve the world's most pressing challenges, including feeding the world's growing population and slowing climate change, by improving the performance of their machine learning models through better data infrastructure.
Requirements
- 2+ years of professional experience using Python for data analysis, scripting, and building tools.
- 2+ years of professional experience working with data pipelines and infrastructure in support of machine learning or data-driven products.
- Hands-on experience building and maintaining cloud-based data workflows, preferably on AWS (e.g., S3, Lambda, Step Functions, Glue, Athena).
- Solid understanding of databases and designing schemas for metadata & results (SQL or NoSQL).
- Ability to design and implement internal tools and dashboards, selecting appropriate technologies to meet user needs.
- Experience organizing and managing large datasets, including defining schemas, ensuring data quality, and supporting versioning.
- Strong data operations mindset: building repeatable, reliable workflows and pipelines.
Responsibilities
- Analyze model outputs to identify failure modes and data gaps.
- Develop tools & processes to select the most impactful data for annotation.
- Design and implement data pipelines for aggregating, cleaning, and curating datasets.
- Work with external vendors & partners to select and use the best tools
- Collaborate with ML & product teams to align data initiatives with model and product goals.
- Build and maintain an internal evaluation platform to store predictions, metadata, and support interactive analysis.
Other
- You will work in onsite/hybrid model with your wonderful AGCO colleagues at Tremont, IL
- We value inclusion and recognize the innovation a diverse workforce delivers to our farmers.
- AGCO is proud to be an Equal Opportunity Employer.
- We maintain a drug-free workplace and perform pre-employment substance abuse testing.
