
Chief Artificial Intelligence Architect
5 days ago
We are at the forefront of developing intelligent AI systems tailored for the manufacturing and automotive sectors.
- Design, build, and optimize machine learning models for requirement understanding and automation.
- Develop scalable production-grade AI pipelines and APIs.
- Owning 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 the efficiency and scalability of ML systems in production.
- Stay current with the latest AI research and translate innovations into product enhancements.
What We Offer
Pioneering collaborative requirement assessment in industry, our team combines expertise, OEM partnerships, multi-patented technologies and VC backing. We're a thought leader in the field of requirement intelligence.
Requirements
- 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.
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