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Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field
- 7+ years of professional software engineering experience, with a strong focus on AI and data-intensive applications
- Extensive knowledge of AI and machine learning concepts, including deep learning, natural language processing, and computer vision
- Experience with popular AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn
- Strong understanding of data structures, algorithms, and software design principles
- Hands-on experience with cloud platforms (AWS, GCP, or Azure) and cloud-based AI services
- Familiarity with big data technologies such as Apache Spark, Hadoop, or similar distributed computing frameworks
- Experience in architecting and delivering solutions for internet-scale applications
- Excellent problem-solving skills and ability to optimize AI models for performance and efficiency
- Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences
- Experience with DevOps practices and tools (e.g., Docker, Kubernetes, CI/CD pipelines)
- Contributions to open-source AI/ML projects
- Published research papers in AI or machine learning
- Experience with Agile development methodologies
What We Offer
- Continuous learning and development opportunities
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