Deep Learning Engineer

ABOUT CURALABEL

Curalabel is seeking a talented Deep Learning Engineer to join our team on a one-year full-time contract. In this role, you will design, develop, and deploy deep learning models that power intelligent applications across a variety of domains. You will work with large datasets, build scalable AI solutions, optimize model performance, and collaborate with cross-functional teams to bring cutting-edge machine learning systems into production.

RESPONSIBILITIES

• Design, develop, train, and deploy deep learning models for real-world applications.

• Build and optimize neural network architectures for high performance and accuracy.

• Develop data preprocessing, feature engineering, and data augmentation pipelines.

• Train, evaluate, and fine-tune machine learning and deep learning models.

• Experiment with state-of-the-art deep learning techniques and architectures.

• Collaborate with data scientists, software engineers, and product teams to integrate AI models into production systems.

• Optimize models for inference speed, scalability, and resource efficiency.

• Monitor model performance and continuously improve accuracy and reliability.

• Document experiments, model architectures, and technical implementations.

• Stay current with the latest research and advancements in deep learning and artificial intelligence.

REQUIRED QUALIFICATIONS

• Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Computer Engineering, or a related field.

• Strong experience with Python.

• Experience with PyTorch, TensorFlow, or similar deep learning frameworks.

• Strong understanding of neural networks, deep learning algorithms, and machine learning fundamentals.

• Experience training, evaluating, and deploying deep learning models.

• Knowledge of supervised, unsupervised, and self-supervised learning techniques.

• Experience working with large datasets and data preprocessing pipelines.

• Familiarity with model optimization and performance tuning.

• Experience using Git and collaborative software development workflows.

• Strong analytical, mathematical, and problem-solving skills.

• Excellent communication skills and the ability to work independently in a remote environment.

PREFERRED QUALIFICATIONS

• Experience with transformer architectures and foundation models.

• Experience with large language models (LLMs), multimodal AI, or generative AI applications.

• Familiarity with computer vision or natural language processing.

• Experience deploying models using Docker, Kubernetes, or cloud platforms.

• Experience with AWS, Google Cloud Platform, or Microsoft Azure.

• Knowledge of MLOps, CI/CD pipelines, and model monitoring.

• Experience with distributed training and GPU optimization.

• Familiarity with ONNX, TensorRT, or other model optimization frameworks.

• Contributions to AI research, publications, or open-source projects are a plus.

WHAT WE OFFER

• 100% Remote work.

• Full-time, 12-month contract.

• Opportunity to work on cutting-edge deep learning and AI projects.

• Collaborative engineering environment with experienced AI professionals.

• Exposure to modern machine learning technologies and production-scale AI systems.

If you're passionate about deep learning and building intelligent systems that solve complex problems, we'd love to hear from you.