Lead AI Software Engineer (Only local candidates)

AsceticVoyage partners with a freelance recruiter and talent acquisition specialist to help startups, SMEs, and growing businesses build strong teams. The Lead AI Software Engineer will architect and develop AI-driven software solutions, lead AI model design and implementation, and integrate neural network-based components into production systems while mentoring engineers and overseeing AI service deployment and improvement.

Responsibilities:

• Architecting and developing AI-driven software solutions
• Leading the design and implementation of models for pattern recognition and natural language processing
• Integrating neural network-based components into production systems
• Hands-on coding
• Reviewing technical designs
• Optimizing model performance
• Ensuring robust, scalable software development practices
• Mentor other engineers
• Define technical standards
• Collaborate with stakeholders to translate business needs into AI features
• Oversee deployment, monitoring, and continuous improvement of AI services

Requirements:

• Strong foundation in Computer Science and Software Development, including data structures, algorithms, and scalable system design
• Proficiency in Pattern Recognition and Neural Networks, with experience building and tuning machine learning or deep learning models
• Hands-on experience with Natural Language Processing (NLP), including text preprocessing, model training, and evaluation
• Experience leading engineering projects, mentoring peers, and setting technical direction for AI initiatives
• Proficiency in modern programming languages commonly used in AI (such as Python, Java, or C++) and relevant ML frameworks (such as TensorFlow, PyTorch, or similar)
• Familiarity with cloud platforms, APIs, and MLOps practices for deploying and maintaining AI models in production
• Bachelor's or higher degree in Computer Science, Engineering, or a related field, or equivalent practical experience
• Ability to communicate complex technical concepts clearly and collaborate effectively in a remote, cross-functional environment