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Sonar · 5 hours ago

Forward Deployed Engineer, ML

Austin, TX

Full-time

Hybrid

Entry, Mid Level

2+ years exp

Sonar is a company focused on improving code quality and security while enhancing developer productivity through AI solutions. The Forward Deployed Engineer, ML will be responsible for implementing and deploying machine learning solutions for strategic enterprise clients, ensuring successful integrations and driving client satisfaction.

Cyber SecurityDeveloper ToolsOpen SourceSoftware

No H1B

Responsibilities

End-to-End Ownership: Proactively engage with client or partner teams in Research, Engineering, Data Science, MLOps, Infrastructure to understand their business and technical requirements. With our internal R&D team in the loop, design specific implementations that you will integrate, optimize, and productionize within the client’s existing or greenfield systems as well as transferring technical knowledge to client teams when applicable

Subject Expert: Stay up-to-date with the latest LLM capabilities and implementation patterns, you are learning driven. You will need to explain complex technical details and concepts to both technical and non-technical audiences

Influence Model Training & Tuning: Represent our core R&D team on-site, leading technical engagement with modern techniques covering all stages of model training using complex, proprietary client data. Ensure architecture is aligned with and optimized for specific constraints (e.g. GPU types, air-gapping)

Develop Deployment Strategy: Define and execute a global technical strategy for integrating our ML solutions into diverse client environments, ensuring compliance with sector-specific data security standards and performance SLAs. Based on your implementations, build reusable playbooks and libraries that will accelerate yourself and others

Building Relationships: Operate autonomously and with agency to build strong relationships with clients, create strategic technical partnerships and drive high-value, referenceable production deployments

Serve as Internal Expert: Act as the primary internal consultant, advising product, research, and sales on real-world client infrastructure limitations, performance bottlenecks, and emerging technical standards necessary for product success

Qualification

Machine Learning expertiseModel deployment experienceTechnical consulting skillsPython programmingMLOps knowledgeValue-driven influenceBuilding relationshipsCommunication skills

Required

Bachelor's degree in Computer Science or a related field

2+ years of experience in a technical, customer facing role such as Forward Deployed Engineer, or as a Software/ML Engineer with consulting experience

Experience in the Machine Learning lifecycle (training, optimization, deployment), with a proven ability to lead and execute complex model deployments in production environments

Proven track record working within or closely alongside client engineering teams to successfully deploy and integrate complex, high-performance software, involving cloud or on-premise ML workloads

Understanding of modern ML frameworks, programming languages including Python, and deployment technologies (Docker, Kubernetes, cloud services like SageMaker/Vertex AI/Azure AI)

Demonstrated ability to influence senior technical leaders and lead engineers, translating complex model performance and system architectures into clear, tangible business value and deployment assurance

Benefits

Flexible comprehensive employee benefit package.

You will receive 23 days of PTO per calendar year (on a pro-rated basis depending on your employment start date), with additional time provided for sickness, life events and holidays.

We offer an exciting 401(k) plan that has a 4% match, fully vested on day one of participation.

Fully paid parking in the heart of downtown Austin, Texas.

Monthly catered events, and team events