Machine Learning Engineer

Join our dynamic team as a Machine Learning Engineer, where you'll lead the charge in developing cutting-edge ML models and systems. This role offers the opportunity to leverage your expertise in Python, AWS, and C++ in an innovative, remote work environment.

Collaborate on transformative projects at the intersection of AI and cloud technology, shaping the future of intelligent systems.

Key Responsibilities:

• Design, develop, and optimize machine learning models and algorithms using Python and TensorFlow.
• Collaborate with cross-functional teams to integrate AI solutions into existing systems.
• Implement high-performance computing techniques using C++ and CUDA for deep learning tasks.
• Manage cloud infrastructure on AWS, ensuring scalable and secure deployment of ML applications.
• Conduct research and experiments with PyTorch and JAX to advance ML capabilities.
• Write clear and comprehensive documentation, showcasing your proficiency in written communication.
• Maintain and enhance existing models, ensuring accuracy and efficiency in outputs.

Required Skills and Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in machine learning and software engineering.
• Proficiency in Python and C++ programming languages.
• Extensive experience with AWS and cloud service providers such as Azure and GCP.
• Strong understanding of machine learning frameworks like TensorFlow, PyTorch, and Hugging Face Transformers.
• Excellent written and verbal communication skills.
• Experience with GPU acceleration technologies such as CUDA.

Preferred Qualifications:

• Familiarity with JAX and its use in high-performance numerical computing.
• Experience with deploying AI models in web-based environments using JavaScript.
• Proven track record of published research or contributions to open-source ML projects.