AI Solutions Sustenance Lead

2 weeks ago

Pushkar, Rajasthan, India beBeeArtificialIntelligence Full time US$ 1,25,000 - US$ 1,75,000

Job Description

We are seeking a highly skilled and proactive leader to oversee the maintenance, optimization, and ongoing performance of deployed AI/ML systems and solutions.

This role involves acting 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.
Stakeholder Collaboration
  • Work with cross-functional teams (engineering, product, operations, etc.) to ensure alignment of AI sustainment activities with business goals.
  • Communicate effectively with stakeholders to provide updates on system health, risks, and improvements.
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.

About This Role:

This is an exceptional opportunity for a talented professional to make a significant impact in the field of AI/ML.

The ideal candidate will have a strong background in AI/ML, with specific expertise in Computer Vision and Generative AI, and a keen interest in observability and system reliability.

Key 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

We Are Looking For:

A highly motivated and results-driven individual who can drive success in this challenging and rewarding role.

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