
AI Deep Learning Pipeline Specialist
3 days ago
Cynapse is a pioneering AI software company that specializes in developing cutting-edge Video Intelligence Solutions. Our innovative technology, powered by Generative AI, empowers organizations to enhance safety, operational efficiency, and security in complex environments.
Led by a global team with a proven track record of scaling startups into market leaders, we foster innovation, collaboration, and diverse perspectives. As a leading provider of video intelligence solutions worldwide, Cynapse serves clients globally and redefines what's possible with video analytics.
Job Overview- This role offers an exciting opportunity to gain hands-on experience across the entire deep learning pipeline, including data preparation, model training, evaluation, and deployment.
- Work closely with engineers to design, build, and refine deep learning models for various Computer Vision tasks.
- Contribute to the optimization of models and pipelines by conducting experiments, analyzing results, and helping to improve model performance.
- Gain exposure to modern tools like Docker, CI/CD, and cloud platforms to support scalable, reliable model deployment.
- Currently pursuing or completed a Diploma/ Bachelor/ Master's in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field.
- Basic understanding of machine learning concepts, demonstrated through the completion of at least one hands-on university or online module.
- Proficiency in Python programming (minimum 6 months of hands-on experience or equivalent AI/ML project experience, including GitHub contributions).
- Familiarity with at least one deep learning framework such as TensorFlow, PyTorch, or similar.
- Familiarity with building and optimizing ML pipelines, including data preprocessing, model training, testing, and deployment.
- Experience in software engineering practices like version control (Git), CI/CD pipelines, or Docker for containerization.
- Exposure to cloud platforms (AWS, GCP, Azure) for deploying and managing ML models in production.
- Knowledge of computer vision concepts and libraries (e.g., OpenCV).
Duration: Minimum 4 months internship duration, negotiable based on the candidate's schedule.
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