Chief Artificial Intelligence System Reliability Engineer

3 days ago

Nellore, Andhra Pradesh, India beBeeArtificial Full time ₹ 1,00,00,000 - ₹ 1,50,00,000
AI Solutions SRE Lead

We are seeking a highly skilled and proactive individual to oversee the maintenance, optimization, and ongoing performance of deployed AI/ML systems and solutions. This role will act as a bridge between innovation and operations, ensuring our AI solutions consistently deliver value and operate seamlessly in real-world environments.

Responsibilities:

  • Lead the post-deployment lifecycle of AI solutions, ensuring continued functionality, reliability, and scalability.
  • Establish monitoring frameworks to oversee system performance, usage, and metrics for AI/ML models and APIs.
  • Detect anomalies in AI systems, troubleshoot operational issues, and initiate timely corrective actions.

Performance Optimization:

  • Continuously assess and optimize the performance of AI models 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 where possible to streamline maintenance processes.

Governance & Best Practices:

  • Define and implement 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 and develop junior team members, fostering their skills 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 specifically focused on AI/ML development and sustainment applications/solutions.
  • Strong programming skills in languages such as Python, Java, or Go.
  • Extensive 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 and developing junior team members in AI-related roles.

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