
AI Systems Sustenance Expert
14 hours ago
We are seeking a highly skilled and proactive individual to oversee the maintenance, optimization, and ongoing performance of deployed AI/ML systems and solutions. In this role, you'll act as the 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.
Required Skills and 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 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.
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
Benefits:
- Opportunity to work with cutting-edge AI technologies and contribute to the development of innovative solutions.
- Collaborative and dynamic work environment that fosters growth and learning.
- Competitive compensation package and benefits.
How to Apply:
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