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Artificial Intelligence Innovator
2 weeks ago
Design, develop and optimize intelligent AI systems for real-world applications. Develop scalable production-grade AI pipelines and APIs.
- Develop machine learning models for automation and innovation.
- 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.
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.
- Good understanding of microservices, distributed systems and model performance optimization.
- Experience with natural language processing, document understanding or LLM.
- Experience with Knowledge Graph technologies.
- Work on impactful AI projects solving real-world challenges.
- A collaborative and agile team culture.
- Flexible work hours and location.
- Opportunities to lead, learn and shape the AI roadmap.