About the Role:

This position requires expertise in deep learning technologies, with a strong emphasis on Python programming. The selected candidate will join a distributed, technically proficient team and contribute to all phases of the software development lifecycle, from concept to deployment.

Key Responsibilities:

• Design and implement machine learning and deep learning models in collaboration with data scientists and domain experts.
• Lead and manage the full lifecycle of data science projects, including research, development, validation, and deployment.
• Conduct preprocessing of structured and unstructured datasets to prepare data for modeling.
• Ensure high standards of data integrity and consistency throughout all analytical workflows.
• Establish and monitor performance metrics for deployed solutions, ensuring optimal operation and continuous improvement.

Required Qualifications:

• Advanced proficiency in Python, including experience with machine learning frameworks such as TensorFlow or PyTorch.
• Hands-on experience with containerization technologies such as Docker, and orchestration tools like Kubernetes.
• Ability to work independently in a dynamic, fully remote environment.
• Strong understanding of machine learning and deep learning techniques, with practical experience applying them to real-world datasets.
• Comfortable using digital collaboration tools for communication, including video conferencing and screen sharing.

Work Environment:

• Fully remote and distributed team structure.
• Flexible hours and performance-driven expectations.
• Focused on delivering high-impact, scalable AI solutions.