
AI Transformation Specialist
1 week ago
At the forefront of industrial automation, we're pioneering intelligent AI agents for the manufacturing and automotive sectors. As a key member of our team, you'll play a pivotal role in developing robust, scalable, and intelligent AI products that redefine complex engineering workflows.
We're a highly skilled team of researchers, technologists, entrepreneurs, and developers with 15 patents and 20+ publications at prestigious scientific venues. Founded in 2020, we've established ourselves as thought leaders in requirement intelligence through our innovative solutions and OEM partnerships.
Our Ideal Candidate
- Designs, builds, and optimizes ML models for intelligent requirement understanding and automation.
- Develops scalable, production-grade AI pipelines and APIs.
- Owns the deployment lifecycle, including model serving, monitoring, and continuous delivery.
- Collaborates with data engineers and product teams to ensure data integrity, performance, and scalability.
- Works on large-scale data processing and real-time pipelines.
- Contributes to DevOps practices such as containerization, CI/CD pipelines, and cloud deployments.
- Analyzes and improves the efficiency and scalability of ML systems in production.
- Remains current with the latest AI/ML research and translates innovations into product enhancements.
What We're Looking For
- 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
- Competitive compensation.
- Opportunity to work on impactful AI products solving real 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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