AI Solutions SRE Lead

Our organization is seeking an experienced AI Solutions SRE Lead to oversee the deployment, optimization, and ongoing performance of deployed AI/ML systems.

Key Responsibilities:

• Ensure continuous functionality, reliability, and scalability of AI solutions post-deployment.
• Establish monitoring frameworks for system performance, usage, and metrics.
• Detect anomalies in AI systems, troubleshoot operational issues, and initiate corrective actions.

Performance Optimization:

• Continuously assess and optimize AI model performance to maintain efficiency and accuracy in production environments.
• Collaborate with data scientists and engineers to refine algorithms, retrain models, and update solutions as needed.
• Implement automation to streamline maintenance processes.

Stakeholder Collaboration:

• Work with cross-functional teams to ensure alignment of AI sustainment activities with business goals.
• Communicate effectively with stakeholders on system health, risks, and improvements.

Governance & Best Practices:

• Define best practices for sustaining AI solutions, including documentation, testing protocols, and version control.
• Ensure compliance with ethical AI standards, regulatory guidelines, and established governance frameworks.
• Manage and mitigate risks associated with model drift, data shifts, and system vulnerabilities.

Incident Management:

• Lead responses to critical incidents involving AI systems by performing root cause analysis and deploying solutions for quick resolution.
• Advocate for proactive risk prevention and early detection strategies.
• Mentor junior team members in AI observability and domain-specific knowledge in ML, Computer Vision, and Generative AI.

Qualifications:

• Bachelor's degree in Computer Science, Engineering, Data Science, or related field; advanced degree preferred.
• 9+ years of experience in machine learning, data science, or software engineering roles, with significant exposure to Computer Vision and Generative AI projects.
• 4+ years of experience focused on AI/ML development and solution sustainment.
• Strong programming skills in languages such as Python, Java, or Go.
• Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and cloud platforms (e.g., AWS, Azure, GCP).
• Proficiency in data visualization tools and techniques (e.g., Grafana, Tableau, D3.js).
• Deep understanding of AI/ML concepts, including model training, evaluation, and deployment, with specific knowledge of Computer Vision and Generative AI techniques.
• Experience with monitoring and observability tools such as Prometheus, ELK stack, or similar systems.
• Excellent problem-solving skills and ability to troubleshoot complex AI systems across various domains.
• Proven track record of mentoring junior team members in AI-related roles.

Preferred Qualifications:

• Experience with MLOps practices and tools, particularly for large-scale AI systems.
• Familiarity with AI ethics and responsible AI principles, especially as they relate to Generative AI.
• Knowledge of relevant AI regulations and compliance requirements, including those specific to Computer Vision applications.
• Experience with distributed systems and large-scale data processing for AI applications.
• Contributions to open-source projects or research publications in AI solutions at production scale.
• Knowledge of DevOps principles and CI/CD pipelines specific to AI/ML systems.

Competencies:

• Strong analytical and critical thinking skills
• Excellent communication and collaboration abilities
• Proactive and self-motivated work ethic
• Ability to explain complex technical concepts to both technical and non-technical audiences
• Adaptability and willingness to learn in a rapidly evolving field
• Strong mentorship and leadership skills
• Deep curiosity and passion for AI, particularly in ML, Computer Vision, and Generative AI domains