Machine Learning Field Engineer

Responsibilities Engage with prospective clients to grasp their scientific and technical needs, challenges, and goals.
Use these insights to design and deliver customized product demos that highlight solution benefits.
Translate complex scientific needs —such as requirements in biochemical analysis, molecular modeling, or drug discovery Collaborate with researchers and computational scientists to help them explore how technology can support key areas like protein folding, molecular simulations, and drug discovery.
Serve as a technical resource for commercial and pre-sales teams.
Lead and oversee proof-of-concept initiatives and pilot projects with potential clients Gather and communicate client feedback to product and development teams Qualification MSc or PhD in Computational Biology, Computer Science or related fields, with 2+ years of industry experience Experience in computational biolog y tasks, molecular simulations, or analyzing biochemical dat a pipelines Used predictive biology tools, focused on protein structure predictio n or ADME-to x analysis Client Engagement : Passionate about directly interacting with clients, understanding their challenges, and providing technical support to enhance sales outcomes Programming : Python proficienc y is essential, and knowledge of additional languages (e.g., R, Go, Rust, JavaScript) ML Implementation Experience : Practical skills in deploying ML using a range of open-source tool Cloud Platform Variety : Experience with multi-clou d or on-premise solutions Distributed Systems Knowledge : Skilled in working with or deploying distributed systems