
AI Solutions Maintenance Specialist
24 hours ago
We are seeking a highly skilled and proactive AI Solutions SRE Lead to oversee the maintenance, optimization, and ongoing performance of deployed AI/ML systems and solutions.
Key Responsibilities:- System Lifecycle Management: Ensure continued functionality, reliability, and scalability of AI solutions post-deployment.
- Monitoring & Sustenance: Establish frameworks for monitoring system performance, usage, and metrics for AI/ML models and APIs.
- Performance Optimization: Continuously assess and optimize AI model performance to maintain efficiency and accuracy in production environments.
- Stakeholder Collaboration: Work with cross-functional teams to align AI sustainment activities with business goals and communicate updates on system health and improvements.
- Governance & Best Practices: Define best practices for sustaining AI solutions, including documentation, testing protocols, and version control, ensuring compliance with ethical AI standards and regulatory guidelines.
Requirements include a Bachelor's degree in Computer Science or related field, 9+ years of experience in machine learning, data science, or software engineering roles, and proficiency in programming languages such as Python, Java, or Go. Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn), cloud platforms (e.g., AWS, Azure, GCP), and data visualization tools is also required. Additionally, strong problem-solving skills and ability to troubleshoot complex AI systems across various domains are necessary. Proven track record of mentoring and developing junior team members in AI-related roles is preferred but not essential.
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