AI Solutions Architect

2 weeks ago

Varanasi, Uttar Pradesh, India beBeeArtificial Full time US$ 1,50,000 - US$ 2,00,000
Lead a team of AI professionals to deliver cutting-edge solutions.We are seeking an experienced AI Solutions SRE Lead to oversee the maintenance and optimization of deployed AI/ML systems and solutions.In this role, you'll act as a bridge between innovation and operations, ensuring our AI solutions consistently deliver value and operate seamlessly in real-world environments.Key Responsibilities:
  • Oversight of post-deployment lifecycle of AI solutions to ensure continued functionality, reliability, and scalability.
  • Establishment of monitoring frameworks to oversee system performance, usage, and metrics for AI/ML models and APIs.
  • Detection of anomalies in AI systems, troubleshooting of operational issues, and initiation of timely corrective actions.
  • Continual assessment and optimization of the performance of AI models to maintain efficiency and accuracy in production environments.
  • Collaboration with data scientists and engineers to refine algorithms, retrain models, and update solutions as needed.
  • Implementation of automation to streamline maintenance processes.
  • Collaboration with cross-functional teams to ensure alignment of AI sustainment activities with business goals.
  • Effective communication with stakeholders to provide updates on system health, risks, and improvements.
  • Definition and implementation of 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.
  • Management and mitigation of risks associated with model drift, data shifts, and system vulnerabilities.
  • Leadership of responses to critical incidents involving AI systems by performing root cause analysis and deploying solutions for quick resolution.
  • Promotion of proactive risk prevention and early detection strategies.
  • Mentorship and development of 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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