AI System Sustenance Leader

1 day ago

Guntur, Andhra Pradesh, India beBeeSolutions Full time ₹ 3,00,00,000 - ₹ 4,00,00,000

Job Title: AI Solutions Sustenance Lead

We're seeking an experienced professional to oversee the maintenance and optimization of deployed AI systems. This role involves ensuring our AI solutions deliver value and operate seamlessly in real-world environments.

Main Responsibilities:

  • Monitor deployments, detect anomalies, and troubleshoot issues with AI systems.
  • Lead efforts to establish monitoring frameworks for system performance, usage, and metrics.

Skill Requirements:

  • 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 sustaining 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.

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

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