
AI Solution Developer
2 weeks ago
At the forefront of industrial automation and engineering, we are developing intelligent AI agents for manufacturing and automotive sectors.
This position plays a pivotal role in building robust, scalable, and intelligent AI products that redefine complex engineering workflows.
- Design, build, and optimize ML models for requirement understanding and automation.
- Develop production-grade AI pipelines and APIs.
- Own model serving, monitoring, and continuous delivery lifecycle.
- 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.
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.
- Experience working with large datasets, data wrangling, and scalable data pipelines.
- Good understanding of microservices, distributed systems and model performance optimization.
What We Offer:
- Impacting AI products solving real industrial challenges.
- Collaborative team culture.
- Flexible work hours and location.
- Opportunities to lead, learn, and shape the AI roadmap.
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