
AI Engineer for Intelligent Requirement Understanding
5 days ago
Unlock the Future of Industrial Automation and Engineering
We are a pioneer in developing intelligent AI agents tailored for the manufacturing and automotive sectors.
About This RoleThis position involves designing, building, and optimizing ML models for intelligent requirement understanding and automation.
- Develop scalable, production-grade AI pipelines and APIs.
- Own the deployment lifecycle, including 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.
- 3+ years of 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 (Apache Spark, Kafka, Ray, Dask, etc.).
- Good understanding of microservices, distributed systems, and model performance optimization.
- Comfortable in a fast-paced startup environment; proactive and curious mindset.
- Experience with natural language processing, document understanding, or LLM (Large Language Model).
- Experience with Knowledge Graph technologies.
- Experience with logging/monitoring tools (e.g., Prometheus, Grafana).
- Knowledge of requirement engineering or PLM systems.
We offer opportunities for growth, collaboration with skilled professionals, and a chance to shape the future of industrial automation and engineering.
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