Mô Tả Công Việc
Develop and deploy machine learning solutions from initial research to production, ensuring scalability and performance in live environments.
Ensure reliable and scalable ML infrastructure, automating deployment and monitoring processes using MLOps best practices.
Develop high-performance model-serving APIs (FastAPI, Triton, vLLM).
Ensure data quality, security, and compliance in ML systems.
Maintain model registry, versioning, and CI/CD pipelines.
Collaborate with research and engineering teams to move prototypes to production.
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Yêu Cầu Công Việc
Bachelor’s in Computer Science, Engineering, or a related field
4+ years of experience in building, deploying, and scaling machine learning models in production environments.
Deep understanding of computer science fundamentals and a solid background in software engineering.
Experience deploying Generative AI models in production environments.
Strong understanding of Retrieval Augmented Generation (RAG), AI Agents, and expertise in prompt engineering techniques.
Proven experience with the full product lifecycle, taking models from R&D to deployment in fast-paced environments
Strong expertise in Python and containerization (Docker, Kubernetes).
Preferred skills:
Experience working in a product-based company, preferably within a startup environment with early-stage technical product development.
First-principles thinking and excellent problem-solving skills, with a proactive approach to addressing challenges.
A self-starter mentality, with the ability to take ownership of projects from end to end and work autonomously to drive results.
Excellent communication skills, with the ability to convey complex technical concepts and a strong customer-obsessed mindset.
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Hình thức
Full-time
Mức lương
Thỏa thuận
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