Chief AI Maintenance Strategist

2 days ago

Nagpur, Maharashtra, India beBeeAI Full time ₹ 1,20,00,000 - ₹ 1,80,00,000
Job Opportunity: AI Sustainment Expert

We are seeking a highly skilled professional to oversee the maintenance and optimization of deployed AI systems.

In this role, you will act as a bridge between innovation and operations, ensuring our AI solutions deliver value and operate seamlessly in real-world environments.

Key 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 models and APIs.
  • Detect anomalies in AI systems, troubleshoot operational issues, and initiate timely corrective actions.
Required Skills:
  • Bachelor's degree in computer science, engineering, 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.
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 solution at production scale. Previous experience with large-scale AI/ML solutions in production environments.
  • Knowledge of DevOps principles and CI/CD pipelines specific to AI/ML systems.

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