Machine Learning Engineer - Customer Facing

Lamini enables every enterprise to safely, quickly, and cost-effectively build their own Expert AI. Our customers own their own models, trained on their data. Lamini optimizes for Expert AI workloads with minimal hallucination, enterprise-grade security, and enterprise flexibility, running on any infrastructure. Our team is made up of highly committed engineers, researchers, and tech industry veterans excited by mission and technology. We're backed by leading VCs as well as computing and technology companies.

As a Customer-Facing Machine Learning Engineer, you'll work directly with enterprise customers to leverage Lamini platform to develop and deploy LLM solutions that drive business value. This role blends technical expertise, customer collaboration, and problem-solving to ensure customers achieve maximum benefit from our platform. You will play a pivotal role in bridging the gap between our engineering team and customers, providing technical support, gathering feedback, and leading implementation efforts.

Key responsibilities include:

• Acting as the primary technical advisor for prospective customers evaluating LLM and finetuning projects on Lamini platform
• Partnering closely with account executives to understand customer requirements
• Driving technical decision making and advising on optimal setup and architecture
• Supporting customer onboarding and serving as an ongoing technical advisor
• Occasional travel to customer sites for workshops and implementation support

The ideal candidate should have:

• 3+ years of experience training or finetuning deep learning models
• 2+ years of experience in a customer-facing technical role
• Strong technical aptitude and proficiency in software engineering
• Excellent communication and interpersonal skills
• A love for teaching, mentoring, and helping others succeed

Lamini AI offers a competitive compensation package, including a base salary range of $150,000 to $250,000, equity, and benefits. The company is committed to providing equal employment opportunities and values diversity and inclusion among its employees.