We are seeking a Deep Learning Engineer to design, develop, and optimize deep learning models for cutting-edge AI applications. The ideal candidate will have strong expertise in neural networks, computer vision, natural language processing (NLP), and reinforcement learning. You will work with large datasets, experiment with model architectures, and deploy AI solutions across various industries.

Key Responsibilities:

• Develop and optimize deep learning models for image recognition, NLP, and predictive analytics.
• Research and experiment with neural network architectures, including CNNs, RNNs, GANs, and Transformers.
• Preprocess and augment large-scale datasets to enhance model performance.
• Implement and fine-tune models using frameworks like TensorFlow, PyTorch, or JAX.
• Deploy deep learning solutions in cloud environments (AWS, Azure, GCP) and edge computing platforms.
• Collaborate with cross-functional teams, including data scientists, software engineers, and AI researchers.
• Stay up-to-date with the latest advancements in deep learning and AI technologies.
• Optimize models for efficiency, scalability, and real-world deployment.

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• 3+ years of experience in deep learning model development and deployment.
• Strong proficiency in Python and deep learning frameworks (TensorFlow, PyTorch, Keras).
• Experience with cloud-based AI platforms and GPU-accelerated computing.
• Solid understanding of mathematical concepts such as linear algebra, probability, and optimization techniques.
• Ability to handle large datasets and work with distributed computing frameworks.
• Strong problem-solving skills and the ability to work independently on AI challenges.

Preferred Qualifications:

• Ph.D. in Machine Learning, AI, or a related field.
• Experience in deploying deep learning models in real-world applications (e.g., autonomous systems, healthcare, finance).
• Familiarity with MLOps tools for model lifecycle management.

If you’re passionate about pushing the boundaries of AI, apply now and be part of our innovative team!