
AI Product Development Specialist
4 hours ago
Discover the future of industrial automation and engineering as we develop intelligent AI agents tailored for manufacturing and automotive sectors.
We're building robust, scalable, and intelligent AI products that redefine complex engineering and requirements workflows. Our team includes researchers, technologists, entrepreneurs, and developers with expertise in AI/ML research and innovation.
Founded in 2020, we're pioneering collaborative requirement assessment in industry. With our deep industry expertise, OEM partnerships, patented AI technologies, and VC backing, we're positioned as thought leaders in requirement intelligence.
Key Responsibilities:
- Design, build, and optimize 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.
- Analyze and improve the efficiency and scalability of ML systems in production.
- Stay current with the latest AI/ML research and translate innovations into product enhancements.
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.
Bonus Points:
- 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.
What We Offer:
- Achieve impactful AI products solving real-world industrial challenges.
- A collaborative, agile, and supportive team culture.
- Flexible work hours and location (hybrid/remote).
- Opportunities to lead, learn, and shape the AI roadmap.
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