AI Engineer Lead
Indexed description
The ideal candidate should possess strong expertise in AI technologies, machine learning, and system integration, along with proven leadership capabilities.
Key Responsibilities
- Lead the design, development, and implementation of AI and machine learning solutions.
- Manage and mentor AI engineers and technical teams.
- Develop and maintain scalable AI models and applications.
- Collaborate with business stakeholders to identify AI opportunities and requirements.
- Oversee model training, testing, deployment, and performance monitoring.
- Ensure integration of AI solutions with existing systems and platforms.
- Optimize AI models for accuracy, scalability, and efficiency.
- Research and implement emerging AI technologies and best practices.
- Ensure compliance with data security, governance, and ethical AI standards.
- Support automation and digital transformation initiatives across the organization.
- Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or related field.
- Minimum 5–8 years of experience in AI engineering, machine learning, or software development.
- Proven experience leading AI projects and technical teams.
- Strong proficiency in Python and AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Experience with APIs, cloud platforms, and system integration.
- Strong understanding of machine learning, deep learning, NLP, and generative AI concepts.
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