
Industrial AI Specialist
21 hours ago
About Us
We are a team of researchers, technologists, entrepreneurs, and developers working on intelligent AI agents for manufacturing and automotive sectors. Our mission is to create innovative AI products that solve real industrial challenges.
The Role
- Design, build, and optimize machine learning models for requirement understanding and automation.
- Develop scalable AI pipelines and APIs.
- Owning the deployment lifecycle, including model serving, monitoring, and 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 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 machine learning/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 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:
- Attractive compensation package.
- Opportunity to work on impactful AI products.
- 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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