The company is seeking a Senior AI Engineer to design, develop, and maintain AI-based systems, architect intelligent solutions, guide AI strategy, and mentor junior engineers, while ensuring scalability, security, and compliance in enterprise AI systems.
Requirements
- Advanced expertise in Python, R, and Java for AI/ML development.
- Strong knowledge of machine learning models, algorithms, and encryption methods.
- Deep understanding of neural networks and their applications in AI solutions.
- Expertise in data modeling, engineering, and preprocessing.
- Proficiency in secure AI practices, including compliance and governance.
- Familiarity with cloud-based AI/ML services (AWS, Azure, GCP).
- Experience designing AI/ML architecture at the enterprise level.
Responsibilities
- Lead the design, development, and deployment of AI and machine learning systems.
- Architect secure AI models using encryption methods and compliance standards.
- Build and optimize neural network–based solutions to address business needs.
- Translate business requirements into scalable AI/ML models and intelligent applications.
- Oversee data modeling, engineering, and preprocessing pipelines.
- Integrate cloud-based AI and machine learning services (AWS SageMaker, Azure ML, GCP AI).
- Drive MLOps practices for continuous deployment, monitoring, and retraining of models.
Other
- More than six years of experience designing, developing, and maintaining AI-based systems.
- Communicate complex AI concepts effectively to both technical and business stakeholders.
- Mentor junior AI engineers and contribute to AI capability building across teams.
- Ensure compliance with secure AI development practices and emerging AI governance frameworks.
- Leadership experience mentoring AI teams or leading research initiatives.