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Forward Deployed Engineer, ML(m/w/x)
Designing and integrating specific AI-driven implementations within client systems for code quality and security issues at developer productivity platform. 2+ years in technical, customer-facing role with proven client engineering track record required. 60% pension contribution, sustainable mobility options, 60% transportation subscription refund.
Requirements
- Bachelor's degree in Computer Science or related field
- 2+ years of experience in technical, customer-facing role
- Experience in Machine Learning lifecycle
- Proven track record in client engineering teams
- Understanding of modern ML frameworks and technologies
- Demonstrated ability to influence technical leaders
Tasks
- Engage proactively with client teams to understand business and technical requirements
- Design and integrate specific ML implementations within client systems
- Optimize and productionize ML solutions for clients
- Transfer technical knowledge to client teams as needed
- Stay updated on the latest LLM capabilities and implementation patterns
- Explain complex technical concepts to both technical and non-technical audiences
- Lead technical engagement for model training using proprietary client data
- Ensure architecture aligns with specific constraints like GPU types
- Define and execute a global technical strategy for ML integration
- Ensure compliance with data security standards and performance SLAs
- Build reusable playbooks and libraries for accelerated implementation
- Build strong relationships with clients and create strategic partnerships
- Advise internal teams on client infrastructure limitations and performance issues
Work Experience
- 2 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Docker
- Kubernetes
- SageMaker
- Vertex AI
- Azure AI
Benefits
Flexible Working
- Flexible work policy
More Vacation Days
- 27 PTO days
Retirement Plans
- 60% pension contribution
Sustainability Focus
- Sustainable mobility options
Public Transport Subsidies
- 60% transportation subscription refund
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Forward Deployed Engineer, ML(m/w/x)
Designing and integrating specific AI-driven implementations within client systems for code quality and security issues at developer productivity platform. 2+ years in technical, customer-facing role with proven client engineering track record required. 60% pension contribution, sustainable mobility options, 60% transportation subscription refund.
Requirements
- Bachelor's degree in Computer Science or related field
- 2+ years of experience in technical, customer-facing role
- Experience in Machine Learning lifecycle
- Proven track record in client engineering teams
- Understanding of modern ML frameworks and technologies
- Demonstrated ability to influence technical leaders
Tasks
- Engage proactively with client teams to understand business and technical requirements
- Design and integrate specific ML implementations within client systems
- Optimize and productionize ML solutions for clients
- Transfer technical knowledge to client teams as needed
- Stay updated on the latest LLM capabilities and implementation patterns
- Explain complex technical concepts to both technical and non-technical audiences
- Lead technical engagement for model training using proprietary client data
- Ensure architecture aligns with specific constraints like GPU types
- Define and execute a global technical strategy for ML integration
- Ensure compliance with data security standards and performance SLAs
- Build reusable playbooks and libraries for accelerated implementation
- Build strong relationships with clients and create strategic partnerships
- Advise internal teams on client infrastructure limitations and performance issues
Work Experience
- 2 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Docker
- Kubernetes
- SageMaker
- Vertex AI
- Azure AI
Benefits
Flexible Working
- Flexible work policy
More Vacation Days
- 27 PTO days
Retirement Plans
- 60% pension contribution
Sustainability Focus
- Sustainable mobility options
Public Transport Subsidies
- 60% transportation subscription refund
About the Company
Sonar
Industry
IT
Description
Sonar helps prevent code quality and security issues, enhancing developer productivity with AI-driven tools.
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