
Intelligent Systems Engineer
12 hours ago
At DRIMCO, we're driving the future of industrial automation and engineering by developing intelligent AI agents tailored for manufacturing and automotive sectors.
Our skilled team includes researchers, technologists, entrepreneurs, and developers with 15 patents and 20+ publications at prestigious venues like ICML, ICLR, and AAAI. We were founded in 2020 and have pioneered collaborative requirement assessment in industry.
Key Responsibilities:
- Design and optimize ML models for requirement understanding and automation.
- Develop scalable AI pipelines and APIs.
- Own model serving, monitoring, and continuous delivery.
- Collaborate with data engineers and product teams to ensure data integrity, performance, and scalability.
- Work on large-scale data processing and real-time pipelines.
- Contribute to DevOps practices such as containerization, CI/CD pipelines, and cloud deployments.
- Analyze and improve ML system efficiency and scalability.
Requirements:
- 3+ years experience in ML/AI engineering with shipped products.
- Proficient in Python (e.g., TensorFlow, PyTorch, scikit-learn).
- Strong software engineering practices: version control, testing, documentation.
- Experience with MLOps tools (e.g., MLflow, Kubeflow) and model deployment techniques.
- Familiarity with Docker, Kubernetes, CI/CD, and cloud platforms (AWS, Azure, or GCP).
- Experience working with large datasets, data wrangling, and scalable data pipelines.
- Good understanding of microservices, distributed systems, and model performance optimization.
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