Senior AI Platform Engineer
New
T
Twin HealthDigital Health
Remote, USAFull-TimeSenior
Salary180,000 - 200,000 USD per year
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Job Details
- Experience
- 5+ years
- Required Skills
- DockerPythonSQLKubernetesNosqlSparkMicroservicesMLOpsGenerative AIDistributed Systems
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- 5+ years of industry experience
- Familiarity with architectural frameworks of large, distributed, and high-scale ML applications
- Solid understanding of MLOps, data structures, and software design principles
- Proficiency in Python programming
- Experience in Java or Go
- Strong knowledge in deploying scalable machine learning models
- Experience with Docker, Kubernetes, and microservices architecture
- Experience with SQL/NoSQL databases
- Experience with big data processing frameworks like Spark (plus)
Responsibilities
- Architect, design, and build robust and efficient AI/ML systems for a production environment, focusing on backend distributed systems, microservices, and ensuring system accuracy.
- Lead cross-functional initiatives end-to-end (scoping, timelines, dependencies), driving alignment across Data, Infra and ML Engineering.
- Collaborate closely with AI/ML engineers to optimize workflows for model training, real-time inference, monitoring, and troubleshooting
- Be a subject matter expert on ML infrastructure, providing guidance to both internal teams and external stakeholders.
- Ensuring operational excellence and reliability of ML systems. Define and enforce SLAs around system performance, including latency, throughput, and resource utilization.
- Develop tools for effective model management, continuous monitoring, and enhancing the efficiency and effectiveness of the entire ML lifecycle.
- Actively engage in mentorship and knowledge sharing to promote a culture of continuous learning and improvement within the team.
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