AI Engineer

Key Responsibilities :

• AI Solution Design and Development :
• Designing, developing, and deploying complex AI / ML models and systems.
• Selecting and implementing appropriate algorithms and frameworks.
• Building scalable and efficient AI pipelines.
• Model Training and Evaluation :
• Training and fine-tuning machine learning models using large datasets.
• Evaluating model performance and optimizing for accuracy and efficiency.
• Implementing model monitoring and retraining strategies.
• Software Development and Integration :
• Integrating AI models into existing software systems.
• Developing APIs and other interfaces for AI services.
• Writing clean, efficient, and well-documented code.
• Research and Innovation :
• Staying up-to-date with the latest AI research and trends.
• Exploring and evaluating new AI technologies and techniques.
• Contributing to research and development efforts.
• Leadership and Collaboration :
• Leading and mentoring junior AI engineers.
• Collaborating with cross-functional teams, including data scientists, software engineers, and product managers.
• Communicating complex technical concepts to non-technical stakeholders.
• Solution Architecture :
• Designing the architecture of AI powered solutions, insuring scalability, and reliability.

Requirements

Required Skills and Qualifications :