Rethink recruit
Solution Architect / Customer Success Engineer
Rethink recruit, Palo Alto, California, United States, 94306
About FEDML
FEDML is an AI research and development company with a focus on Generative AI Platform at Scale. FEDML provides the generative AI platform and foundation models to enable developers and enterprises to build and commercialize their own generative AI applications easily, scalably, and economically. Its flag product, FEDML Nexus AI, provides unique features in enterprise AI platforms, model deployment, model serving, AI agent APIs, launching training/Inference jobs on serverless/decentralized GPU cloud, experimental tracking for distributed training, federated learning, security, and privacy.
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status.
FEDML's HQ is located at The Lucky Building, 165 University Ave, Palo Alto, CA. Join us in shaping the future of technology.
Our Benefits
Floating holidays Medical, Dental and Vision for employees and family members Truly competitive salary and equity 401(k) (U.S. specific) Solution Architect / Customer Success Engineer
About The Role
Solutions Architect/Customer Success Engineer will own customer deployments in various cloud infrastructures and/or on-prem clusters, help with debugging when issues come up in the deployments and articulate best practices for using FEDML effectively. The Solution Architect/Customer Success Engineer would also be responsible for writing blog posts, updating documentation and building internal enablement material.
As the Solution Architect/Customer Success Engineer, you will be responsible for streamlining the onboarding process and enhancing the success of customers utilizing our GenAI platform. This role involves collaborating with ML engineers/Data Scientists across various industries, ensuring the seamless integration.
The Solutions Architect/Customer Success Engineer will partner closely with Product and Engineering teams internally to influence product roadmap based on customer feedback.
Responsibilities
Master the implementation of efficient, robust, and reproducible machine learning pipelines for engineering teams, leveraging FEDML GenAI platform, to ensure smooth customer onboarding and adoption processes. Serve as a trusted advisor to new customers by identifying their desired outcomes and clearly communicating FEDML's product best practices, ensuring their success through the effective integration and optimization in the post-sales adoption phase. Conduct product training sessions and workshops that demonstrate best practices and the diverse solutions FEDML offers, aimed at facilitating customer success and adoption post-sales. Serve as a pivotal link between customers and internal teams by continuously providing customer feedback and advocating for customer needs, thereby directly influencing the product roadmap and enhancements to reflect real user experiences, trends, challenges, and successes. We Look For
2 years of full time industry experience Experience with Machine Learning projects Strong programming proficiency in Python and eagerness to help customers who are primarily users of Python deep learning frameworks and tools be successful Excellent communication and presentation skills, both written and verbal Ability to effectively manage multiple conflicting priorities, respond promptly and manage time effectively in a fast-paced, dynamic team environment Ability to break down complex problems and resolve them through customer consultation and execution. Experience with cloud platforms (AWS, GCP, Azure) Experience with Linux/Unix
FEDML is an AI research and development company with a focus on Generative AI Platform at Scale. FEDML provides the generative AI platform and foundation models to enable developers and enterprises to build and commercialize their own generative AI applications easily, scalably, and economically. Its flag product, FEDML Nexus AI, provides unique features in enterprise AI platforms, model deployment, model serving, AI agent APIs, launching training/Inference jobs on serverless/decentralized GPU cloud, experimental tracking for distributed training, federated learning, security, and privacy.
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status.
FEDML's HQ is located at The Lucky Building, 165 University Ave, Palo Alto, CA. Join us in shaping the future of technology.
Our Benefits
Floating holidays Medical, Dental and Vision for employees and family members Truly competitive salary and equity 401(k) (U.S. specific) Solution Architect / Customer Success Engineer
About The Role
Solutions Architect/Customer Success Engineer will own customer deployments in various cloud infrastructures and/or on-prem clusters, help with debugging when issues come up in the deployments and articulate best practices for using FEDML effectively. The Solution Architect/Customer Success Engineer would also be responsible for writing blog posts, updating documentation and building internal enablement material.
As the Solution Architect/Customer Success Engineer, you will be responsible for streamlining the onboarding process and enhancing the success of customers utilizing our GenAI platform. This role involves collaborating with ML engineers/Data Scientists across various industries, ensuring the seamless integration.
The Solutions Architect/Customer Success Engineer will partner closely with Product and Engineering teams internally to influence product roadmap based on customer feedback.
Responsibilities
Master the implementation of efficient, robust, and reproducible machine learning pipelines for engineering teams, leveraging FEDML GenAI platform, to ensure smooth customer onboarding and adoption processes. Serve as a trusted advisor to new customers by identifying their desired outcomes and clearly communicating FEDML's product best practices, ensuring their success through the effective integration and optimization in the post-sales adoption phase. Conduct product training sessions and workshops that demonstrate best practices and the diverse solutions FEDML offers, aimed at facilitating customer success and adoption post-sales. Serve as a pivotal link between customers and internal teams by continuously providing customer feedback and advocating for customer needs, thereby directly influencing the product roadmap and enhancements to reflect real user experiences, trends, challenges, and successes. We Look For
2 years of full time industry experience Experience with Machine Learning projects Strong programming proficiency in Python and eagerness to help customers who are primarily users of Python deep learning frameworks and tools be successful Excellent communication and presentation skills, both written and verbal Ability to effectively manage multiple conflicting priorities, respond promptly and manage time effectively in a fast-paced, dynamic team environment Ability to break down complex problems and resolve them through customer consultation and execution. Experience with cloud platforms (AWS, GCP, Azure) Experience with Linux/Unix