
AI Systems Engineer
1 day ago
We're looking for a skilled engineer to build robust, scalable, and intelligent AI products.
- Design, build, and optimize machine learning models for automation.
- Develop production-grade AI pipelines and APIs.
- Owning the deployment lifecycle, including model serving, monitoring, and continuous delivery.
- Collaborating with data engineers and product teams to ensure data integrity, performance, and scalability.
- Working on large-scale data processing and real-time pipelines.
- Contributing to DevOps practices such as containerization, CI/CD pipelines, and cloud deployments.
- Analyzing and improving the efficiency and scalability of AI systems in production.
What makes this role unique:
- Pioneering collaborative requirement assessment.
- Thought leadership in requirement intelligence.
- OEM partnership.
Requirements:
- 3+ years of experience in AI engineering with shipped products.
- Proficient in Python.
- Strong software engineering practices: version control, testing, documentation.
- Experience with MLOps tools and model deployment techniques.
- Familiarity with Docker, Kubernetes, CI/CD, and cloud platforms.
- Experience working with large datasets, data wrangling, and scalable data pipelines.
- Good understanding of microservices, distributed systems, and model performance optimization.
- A fast-paced startup environment, proactive mindset.
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