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Data-Driven Cloud Solutions Expert
3 weeks ago
We are seeking a skilled Machine Learning Engineer to join our organization. As a key member of our team, you will be responsible for designing and implementing cutting-edge AI solutions that optimize cloud resource allocation, auto-scaling, and performance tuning.
Key Responsibilities:- Design and implement AI models to optimize cloud resource allocation, auto-scaling, and performance tuning
- Develop 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 DevOps 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
- Maintain documentation and best practices for AI/ML integration in cloud systems
- 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, OpenStack, 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)
Important Notes:
- Candidates with Immediate or 15 days Notice Period will be preferred
- Paid Annual Leave is mandatory for Full Time
- Strive4x values diversity and inclusion and is an equal opportunities employer