
Machine Learning Innovation Specialist
2 days ago
At the forefront of industrial automation and engineering innovation, our team is harnessing the power of intelligent AI agents to revolutionize manufacturing and automotive sectors.
We are seeking a skilled Machine Learning Engineer to play a pivotal role in building robust, scalable, and intelligent AI product solutions that redefine complex engineering and requirements workflows.
- Design, develop, 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.
We are looking for an individual with:
- 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 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.
- Opportunities 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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