AI/ML Engineer (PhD-level) - AI Trainer

Job Title: AI/ML Engineer (PhD-level) - AI Trainer

Job Type: Part-time

Location: Remote

Job Summary:

Join our customer's team as an AI/ML Engineer (PhD-level) - AI Trainer and play an essential role in advancing state-of-the-art AI systems. In this unique AI Training Project, you will leverage your research expertise and deep technical skills to enhance the performance and reliability of our AI models. Collaborate in a dynamic, remote environment where impactful innovation and exceptional communication are valued.

Key Responsibilities:

• Design, implement, and refine machine learning and deep learning models to support advanced AI training objectives.
• Analyze complex datasets to extract meaningful insights, ensuring robust data preprocessing and feature engineering.
• Fine-tune, optimize, and evaluate AI models to improve accuracy, efficiency, and scalability within the training pipeline.
• Collaborate closely with cross-functional teams, providing clear written and verbal feedback on research findings and model performance.
• Develop and execute rigorous testing protocols to validate model improvements and ensure reliable deployment.
• Document experimental methodologies, results, and recommendations to support ongoing learning and process improvement.
• Stay abreast of the latest advancements in AI/ML research, integrating relevant discoveries into project work.

Required Skills and Qualifications:

• PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Proven experience conducting applied AI research and deploying machine learning solutions in real-world projects.
• Expertise in Python, with advanced knowledge of PyTorch and/or TensorFlow frameworks.
• Strong grasp of machine learning, deep learning, and model optimization techniques.
• Exceptional written and verbal communication skills, with the ability to simplify complex concepts for diverse stakeholders.
• Demonstrated ability to work independently and collaboratively in a remote, fast-paced team environment.
• Solid analytical, problem-solving, and organizational skills.

Preferred Qualifications:

• Experience with large-scale AI training projects or AI model evaluation pipelines.
• Contributions to academic publications or open-source AI/ML communities.
• Familiarity with AI ethics, bias mitigation, or explainability in machine learning models.