Machine Learning Field Engineer
3 weeks ago
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 biology tasks, molecular simulations, or analyzing biochemical data pipelines
- Used predictive biology tools, focused on protein structure prediction or ADME-tox analysis
- Client Engagement: Passionate about directly interacting with clients, understanding their challenges, and providing technical support to enhance sales outcomes
- Programming: Python proficiency 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-cloud or on-premise solutions
- Distributed Systems Knowledge: Skilled in working with or deploying distributed systems
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