AI Specialist Engineer

Job Summary

We are seeking a highly skilled AI Specialist Engineer to design, develop, and deploy advanced artificial intelligence solutions that address complex business challenges.
This role combines technical expertise, leadership capability, and strategic thinking to translate business problems into scalable AI-powered solutions.
The successful candidate will lead the development of machine learning systems and collaborate with engineering teams to integrate AI capabilities into mobile and backend platforms.
Key Responsibilities
Technical Leadership:

Lead the architecture, development, and deployment of AI and machine learning solutions.
Design scalable AI systems, including:Natural Language Processing (NLP)
Machine Learning models
Deep Learning architectures
Generative AI models
Oversee the full AI development lifecycle, including:Data collection
Data preprocessing
Feature engineering
Model training pipelines
Ensure model optimization, performance tuning, and continuous monitoring in production environments.
Guide the development and implementation of AI APIs and microservices for integration with mobile applications and backend systems.
Required Qualifications

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
Minimum of 5+ years of experience in AI / ML development.
At least 2+ years of experience leading or managing technical teams.
Strong proficiency in Python for machine learning and AI development.
Experience working with AI/ML frameworks such as:TensorFlow
PyTorch
Scikit-learn
Strong understanding of:Natural Language Processing (NLP)
Deep Learning techniques
Predictive modeling
Experience building and integrating REST APIs with backend systems.
Knowledge of cloud platforms and containerization technologies, including:Docker
Kubernetes
Experience using Git and CI/CD pipelines for development and deployment workflows.
Preferred Qualifications:

Experience working with conversational AI systems and Large Language Model (LLM) integrations.
Proven experience building production-grade AI applications.
Background in AI research or published AI-related projects.
Knowledge of Edge AI and robotics integration.
Strong analytical thinking and advanced problem-solving capabilities.
Demonstrated experience in mentoring engineers and building AI development teams.