We are seeking a highly skilled and innovative
3+ years of experienced Generative AI Engineer to join our dynamic team. As a Generative AI Engineer, you will play a key role in developing cutting-edge algorithms and models to create generative solutions that push the boundaries of artificial intelligence.
Key Responsibilities
- Design, develop, and implement cutting-edge computer vision algorithms, encompassing areas such as image processing, object detection, and segmentation.
- Leverage Generative Adversarial Network (GAN) models to synthesize novel data and enhance the quality of existing datasets.
- Engage in collaborative efforts with cross-functional teams to seamlessly integrate AI-driven solutions into our product portfolio.
- Spearhead initiatives to refine and optimize model architectures, ensuring top-tier performance and efficiency.
- Stay at the forefront of AI and computer vision advancements, ensuring our solutions are consistently state-of-the-art.
- Provide mentorship to budding data scientists, promoting a cohesive, inclusive, and knowledge-sharing team culture.
Qualifications
- A minimum of 3 years of specialized experience in computer vision, with a focus on deep learning. Proficiency in neural architectures such as CNNs, RNNs, Encoder-Decoders, and generative models including GANs and GPT is essential.
- Demonstrated expertise in crafting, fine-tuning, and deploying AI models for real-world applications.
- Mastery in programming languages, notably Python, and familiarity with deep learning frameworks such as TensorFlow and PyTorch. Experience with image processing libraries like OpenCV and Pillow is a plus.
- Exceptional analytical and problem-solving prowess, complemented by meticulous attention to detail.
- Stellar communication and presentation abilities, with a knack for distilling intricate technical data into clear, actionable business insights.
Preferred Skills
- Hands-on experience with cloud platforms, especially AWS, and adeptness with container orchestration tools like Docker and Kubernetes.
- Proficiency in version control utilities, particularly Git and GitHub.
- Prior contributions to the AI research community, such as publications or significant community involvement, will be highly regarded.
- Acquaintance with agile development practices.
- A compelling portfolio showcasing a range of projects in computer vision and image segmentation is desirable
Skills:- Computer Vision, PyTorch and TensorFlow
