
AI Solutions Architect
7 days ago
About This Role:
We are seeking a seasoned professional to lead the design and implementation of cutting-edge AI solutions that drive business outcomes.
Key Responsibilities:
- Develop and deploy predictive models for failure detection, incident management, and system health monitoring.
- Automate operational workflows using machine learning and intelligent scripting.
- Integrate AI-driven insights with existing cloud monitoring tools.
- Collaborate with Dev Ops and SRE teams to deploy, monitor, and improve ML models in production environments.
- Conduct anomaly detection for security, cost optimization, and performance analytics.
- Continuously evaluate emerging AI technologies and tools for operational improvements.
Requirements:
- Bachelor's or equivalent experience or Master's degree in Computer Science, Data Science, or related technical field.
- Proven ability building and deploying ML models, with at least 2 years focused on infrastructure or cloud operations.
- Solid knowledge of hybrid cloud technologies (AWS, GCP, Open Stack, Kubernetes).
- Experience with Python, Jupiter, and ML libraries such as PyTorch, TensorFlow, or scikit-learn.
- Familiarity with cloud-native monitoring, logging, and automation tools (e.g., Terraform, Ansible, Prometheus, Splunk, App Dynamics).
- Comfortable working with streaming data, APIs, and telemetry systems.
- Strong communication and multi-functional collaboration skills.
- Experience with Agile and DevOps operating models, including project tracking tools (e.g., Jira), Git (any Version Control systems), and CI/CD systems (e.g., GitLab, GitHub Actions, Jenkins).
Essential Skills:
- Infrastructure Domain Experience
- MCP Integration
- ML Modeling
- Python
- PyTorch
- Agentic AI
- Hybrid Cloud
- Terraform
- Ansible
- Agile
- Jira
- CI/CD
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