ML Data Platform Engineer

AGCO • Tremont, IL

50d • Hybrid

About The Position

You will be responsible for building the infrastructure to collect, aggregate, and analyze data, supporting an understanding of the performance of our machine learning models. From dataset exploration and curation to performance monitoring and visualization, you’ll ensure the team has the insights needed to create and improve the industry’s best performing models. You’ll work closely with ML researchers, data scientists, and external partners to pinpoint weaknesses in model performance, extract actionable insights from our datasets, build internal tools & dashboards to explore and monitor model performance, and manage and grow the datasets needed to train, evaluate, and improve our models. We’re looking for someone who is technically strong, independent, and capable of shaping the way we collect, analyze, and use data to drive better machine learning outcomes.

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).

Nice To Haves

• 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.
• Familiarity with active learning or data selection strategies.

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.

Benefits

• Health care and wellness plans
• Dental and vision plans
• Flexible and virtual work options (where available)
• 401(k) Savings Plan with company match
• Employee Stock Purchase Plan offering eligible employees the ability to purchase AGCO stock at a discounted price
• Paid holidays and paid time off
• Health savings and flexible spending accounts
• Reimbursement for continuing education
• Life insurance and other supplemental insurance plans

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed