Lead Validation Engineer

Pune, MH, IN

Do you want to help solve the world's most pressing challenges? Feeding the world's growing population and slowing climate change are two of the world's greatest challenges. AGCO is a part of the solution! Join us to make your contribution. AGCO is looking to hire candidates for the position of Lead Validation Engineer

The Lead Validation Engineer will be a member of the global validation core team (GVCT) responsible for creating and maintaining global definitions for data collection, analytics and AI use across the AGCO validation teams. The role includes long-term planning of the strategies, methods and toolchains, running PoC projects, as well as overseeing the implementation of the defined strategy on a team/site level.

Your Impact

Definition of global validation data collection and analysis standard: Define and oversee the implementation of a global data collection and analytics toolchain across all AGCO engineering sites.

Machine data: Ensure the existing data collected from the machine fleet (i.e. connected customer fleet, connected validation fleet) is analyzed and used to back up DVP definition in project planning.

Innovation: Drive innovation and implementation of the latest simulation methods across the teams. Innovation: Actively study and find new methodologies and ways to increase the speed and quality of data analytics including use the collected data from AGCO customer & validation fleets. Actively seek ways to reduce validation dependency on physical equipment.

Stakeholder Engagement: Present strategies to site validation leads and act as an internal trainer to the validation teams globally. Engage with site data analytics engineers and collaborate in defining global strategies.

Participate in other initiatives within the Global Validation Core team, collaborate with peers and ensure alignment of validation standards between all AGCO product lines.

Your Experience and Qualifications

Experience: Total 10 years of experience. Post Educational Background: 4-year Data Analytics or Electronics, and/or Software (or similar) Engineering Degree.

Minimum 4 years of data-analytics and/or AI experience. (additional - preferred) Global experience, training experience.