
AI/ML Engineer
3 days ago
Role: AI/Machine Learning Engineer (AIOps)
Location: Any (REMOTE)
Duration: Full-Time
Position Overview:
AI/ML Engineers for AIOps are responsible for designing and implementing AI-driven solutions for platform monitoring, incident management, and optimization.
Technical Skillset:
- Proficiency with Machine Learning models and tools (TensorFlow, PyTorch)
- Familiarity with AIOps platforms and tools
- Experience in Python, R, or other data-centric programming languages
- Experience with Azure AI and ML Services
- Strong understanding of data processing pipelines and ETL
Eligibility:
- 3-5 years of experience in AI/ML or data science roles
- Experience in deploying AI models in production environments (Azure preferred)
Roles and Responsibilities:
- Develop and implement AI models for anomaly detection, predictive monitoring, and automated incident management.
- Collaborate with platform teams to identify areas for AI-based optimization.
- Integrate AIOps solutions with observability tools like Dynatrace.
Preferred and Good to Have Skills:
- Experience in MLOps for managing machine learning lifecycle
- Familiarity with AIOps solutions and their integration with cloud platforms
Qualifications:
- Bachelors or Masters in Computer Science, Data Science, or AI
- Certifications in AI/ML (e.g., Azure AI Engineer Associate)
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