POSTED Nov 12

Machine Learning Engineer - Customer Facing

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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.

At Lamini, a competitive base salary is part of our comprehensive compensation package, which includes equity and benefits. For this role, the base salary range is $150,000 to $250,000, determined by your skills, qualifications, experience and internal benchmarks.

About the role:

Act as the primary technical advisor for prospective customers evaluating LLM and finetuning projects on Lamini platform. Demonstrate how Lamini can address the customer's use cases through proof of concept. Provide technical guidance on integration, deployment, and adoption best practices.

Partner closely with account executives to understand customer requirements. Configure Lamini's capabilities to showcase how it meets the customer's needs. Develop customized pilots and prototypes, as well as evaluation suites to make the case for customer adoption

Drive technical decision making by advising on optimal setup, architecture, and integration of Claude into the customer's existing infrastructure. Recommend solutions to technical roadblocks

Support customer onboarding by working cross-functionally to ensure successful ramp and adoption. Serve as an ongoing technical advisor throughout implementation and beyond go-live

Travel occasionally to customer sites for workshops, implementation support, and building relationships

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You may be a good fit if you have:

3+ years of experience training or finetuning deep learning models

2+ years of experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect, or Platform Engineer

Designed novel and innovative solutions for technical platforms in a developing business area

Strong technical aptitude to partner with engineers and proficiency in software engineering

The ability to navigate and execute amidst ambiguity, and to flex into different domains based on the business problem at hand, finding simple, easy-to-understand solutions

Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities

A love of teaching, mentoring, and helping others succeed

Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities

At Lamini AI, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law. Lamini AI believes that diversity and inclusion among our employees is critical to our success as a company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. Selection for employment is decided on the basis of qualifications, merit, and business need.

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