Senior Deep Learning Engineer

About the Role

Our client is looking for an experienced Senior Deep Learning Engineer to join their innovative team. This position is fully remote, offering the flexibility to work from anywhere. You will be instrumental in designing, building, and deploying sophisticated deep learning models that drive our core AI products. Working within a collaborative environment, you will tackle complex challenges in areas such as neural network architecture, optimization, and large-scale model training. This is an exceptional opportunity for a seasoned engineer to make a significant impact on projects at the cutting edge of AI & Emerging Technologies , contributing to solutions that redefine industries and improve user experiences globally.

Key Responsibilities

• Design, implement, and train state-of-the-art deep learning models for various AI applications.
• Optimize model performance, efficiency, and scalability for production environments.
• Develop and maintain robust ML pipelines, including data preprocessing, feature engineering, and validation.
• Collaborate with researchers and product teams to translate novel ideas into deployable AI solutions.
• Mentor junior engineers and contribute to best practices in deep learning engineering.

Requirements

• Master's or PhD in Computer Science, Machine Learning, or a related quantitative field.
• 5+ years of professional experience in deep learning engineering and development.
• Strong expertise in neural network architectures (CNNs, RNNs, Transformers) and frameworks like TensorFlow or PyTorch.
• Proficiency in Python and experience with cloud platforms (AWS, GCP, Azure).
• Excellent problem-solving skills and a proven ability to deliver complex AI projects.

Benefits

• Highly competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Generous stock options and retirement plans.
• Extensive professional development budget and opportunities for conference participation.
• A fully remote and flexible working arrangement with a global team.