Advanced AI Architect Specialist
6 days ago
Job Overview
Petadata is seeking an experienced Generative AI Architect to lead the design, development, and implementation of generative AI solutions that align with our company's strategic objectives.
About the Role
This is a full-time position that requires 15+ years of experience in AI/ML architecture or a related field. The ideal candidate will have hands-on experience with AI frameworks and tools, such as TensorFlow, PyTorch, and Hugging Face. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and deploying AI solutions in cloud environments is also required.
Key Responsibilities
- Architecture Design: Develop and maintain the architectural framework for generative AI solutions, ensuring alignment with business goals and technical standards.
- Model Development: Lead the design, training, and deployment of generative AI models tailored to various applications such as content generation, data synthesis, and automation.
- Integration: Collaborate with software engineering teams to integrate generative AI capabilities into existing systems and workflows.
- Scalability & Performance: Ensure AI solutions are scalable, efficient, and optimized for performance across different platforms and environments.
- Ethical AI Practices: Implement and enforce ethical guidelines for AI development and deployment, addressing bias, fairness, and transparency.
- Research & Innovation: Stay abreast of the latest advancements in generative AI and related fields, incorporating new techniques and tools into the company's AI strategy.
- Collaboration: Work closely with data scientists, engineers, product managers, and other stakeholders to identify opportunities for AI-driven solutions and ensure successful project delivery.
- Documentation & Standards: Create comprehensive documentation for AI architectures, processes, and best practices. Establish and maintain coding and architectural standards.
- Security: Ensure that generative AI systems comply with security protocols and data protection regulations.
- Mentorship: Provide guidance and mentorship to junior team members and foster a culture of continuous learning within the AI team.
Requirements
- Experience: Minimum of 7+ years of experience in AI/ML architecture or a related role.
- Generative AI Expertise: Proven experience in designing and deploying generative AI models and solutions.
- Affinity with Tools: Hands-on experience with AI frameworks and tools such as TensorFlow, PyTorch, and Hugging Face.
- Cloud Computing: Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and deploying AI solutions in cloud environments.
Technical Skills
- Programming Languages: Proficiency in programming languages such as Python, Java, or C++.
- Machine Learning: Strong understanding of machine learning algorithms, deep learning architectures, and natural language processing.
- Data Preprocessing: Familiarity with data preprocessing, feature engineering, and model evaluation techniques.
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