At ioMosaic, we are seeking an experienced AI Engineer to work on developing and deploying advanced AI models, machine learning algorithms, and data-driven solutions. The ideal candidate will have hands-on experience with AI frameworks and be able to contribute to the end-to-end AI development lifecycle, from data preprocessing to model deployment.

Duties And Responsibilities

• Develop AI Models: Design, train, and optimize machine learning and deep learning models using state-of-the-art techniques.
• Data Engineering: Collaborate with data teams to collect, clean, and prepare large datasets for model training and evaluation.
• Algorithm Optimization: Focus on improving model performance and accuracy through algorithm optimization, hyperparameter tuning, and testing.
• Deployment & Maintenance: Work on deploying AI models to production environments, ensuring scalability, reliability, and robustness.
• Collaboration: Collaborate with cross-functional teams including software engineers, data scientists, and product managers to integrate AI-driven features into products.
• Research: Stay up-to-date with the latest AI research and industry trends and apply innovative solutions to current problems.
• Documentation: Maintain clear and concise documentation for AI models, code, and processes to ensure efficient collaboration and reproducibility.

Preferred Skills

• Experience with NLP (Natural Language Processing), computer vision, or reinforcement learning.
• Mathematics & Algorithms: Strong knowledge of linear algebra, probability, statistics, and optimization techniques.
• Knowledge of MLOps, CI/CD pipelines, and automated testing for machine learning models.
• Version Control: Familiarity with version control tools such as DevOps/Git.

Soft Skills

• Problem Solving: Strong analytical and problem-solving skills, with the ability to think critically and design innovative AI solutions.
• Communication: Excellent written and verbal communication skills to effectively collaborate with both technical and non-technical teams.
• Adaptability: Willingness to learn and experiment with new AI techniques and technologies.
• Team Player: Ability to work effectively in a collaborative and cross-functional team environment.