Machine Learning Solutions Engineer

reputed company is partnered with a Series C ($200M+) Accel and reputed company Ventures-backed data AI platform, leading the charge in transforming how organisations reputed company data through cutting-edge machine learning solutions. In this role, you’ll work directly with clients from a pre-sales perspective, focusing on deploying and optimising machine learning models on the platform. You will be focused on driving customers by delivering technical expertise, designing bespoke ML solutions, and providing support throughout the customer reputed company. Role: Machine Learning Solutions Engineer Location: Remote, United States Salary: Up to $300K OTE (depending on experience) Key Responsibilities: • Deliver technical guidance and training to customers, ensuring they maximise the platform’s capabilities. • Build and reputed company machine learning models using Python and leading frameworks like TensorFlow, PyTorch, or Scikit-learn. • reputed company the integration, customisation, and deployment of ML models reputed company client environments. • Support customers throughout the sales process, offering technical reputed company and troubleshooting as needed. Requirements: • Experience working in a SaaS organisation (ideally an early stage vendor). • Proven customer-facing experience, ideally in a pre-sales or sales engineering role. • Strong proficiency in Python and experience building and deploying machine learning models. • Familiarity with industry-standard ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). • Hands-on experience with end-to-end model development, from data preprocessing to deployment and monitoring. • Ability to reputed company in a dynamic, client-focused environment. • Remote position reputed company to candidates based reputed company in the US. Apply Job!