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Deep Learning Intern
2 weeks ago
**About Cynapse**
Cynapse is a leading AI software company specializing in enterprise-grade Video Intelligence Solutions Powered by Generative AI, tailored to meet the unique challenges of various industries. Our vertical-specific solutions empower organizations to enhance safety, operational efficiency, and security in complex environments such as roads, seaports, airports, and cities. By combining advanced Vision AI with Generative AI, we continually push the boundaries of video analytics, delivering insights and automation that transform operations.
Led by a global team with a proven track record of scaling startups into market leaders, we foster innovation, collaboration, and diverse perspectives. Headquartered from US, Cynapse serves clients worldwide, redefining what's possible with video intelligence.
We are seeking a talented and highly motivated Deep Learning Intern to join our AI Product group. This role offers an exciting opportunity to work on designing, training, and fine-tuning state-of-the-art models, contributing directly to the development of innovative AI solutions for global customers.
**As a Deep Learning Intern, you will**:
- Gain hands-on experience in the end-to-end deep learning pipeline, including data preparation, model training, evaluation, and deployment.
- Assist in building, training, and fine-tuning deep learning models for various tasks such as classification, segmentation, object detection, and beyond.
- Conduct experiments, analyze results, and contribute to optimizing models through performance analysis and model refinement, incorporating your findings into future iterations.
- Work closely with AI engineers to implement machine learning techniques and algorithms.
**Minimum Qualifications**:
- Currently pursuing or completed a Diploma/Bachelor/Master in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or related fields
- Basic understanding of machine learning concepts, demonstrated through completion of at least one hands-on university or online machine learning module
- Proficiency in Python programming (minimum 3 months of experience).
- Familiarity with at least one deep learning framework such as TensorFlow, PyTorch, or similar.
- Strong analytical thinking and problem-solving skills.
**Preferred (Bonus Skills)**:
- Experience in training or fine-tuning deep learning models.
- Knowledge of computer vision concepts and libraries (e.g., OpenCV).
- Familiarity with deploying models in cloud/on-premise environments or on edge devices.
- Interest in exploring advanced topics such as Generative AI, multi-modal learning, or real-time video analytics.
**Duration**:
- Internship duration**:Minimum 6 months**.
- Availability**:At least 4 days a week**, with a preference for full-time.
- Flexible start and end dates to accommodate exams or personal schedules.
**Benefits**:
- Flexible schedule.
- Health insurance.
- Professional development opportunities.