Jobs via eFinancialCareers ยท 3 days ago
Senior ML Ops Engineer
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Responsibilities
Architect, build, and diagnose production AI applications and systems
Collaborate with colleagues on production systems and write, test, and maintain production quality code
Define and provide strong SLAs around latency, throughput and resource (memory / disk / network / CPU / GPU) usage
Work closely with AI Platform teams to operationalize continuous model training, inference, and monitoring workflows
Qualification
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Required
4+ years of experience working with an object-oriented programming language (Python, Go, etc.)
A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience
An understanding of Computer Science fundamentals such as data structures and algorithms
An honest approach to problem-solving, and ability to collaborate with peers, stakeholders and management
Industry experience with machine learning teams
Working knowledge of common ML frameworks such as PyTorch, ONNX, DeepSpeed etc.
Prior experience with cloud-native technologies like Kubernetes, Argo Workflows, Buildpacks, etc.
Experience with cloud providers such as AWS, GCP or Azure
A track record of collaboration with colleagues to achieve repeatable high quality outcomes
Benefits
401(k) +match
Medical
Dental
Vision
Short and long term disability benefits
Life insurance
Various wellness programs
Company
Jobs via eFinancialCareers
The space to inspire and grow exceptional careers in financial services and tech.
Funding
Current Stage
Growth StageCompany data provided by crunchbase