Description:
Required Skills & Experience
- Primary Technologies: Python (Advanced), Machine Learning frameworks (TensorFlow/PyTorch)
- Specialized AI/ML: LangChain, LlamaIndex, RAG architectures, Large Language Models
- ML Operations: Vector databases, embedding systems, model deployment, MLOps
- Anomaly Detection: AIOps platforms, time-series analysis, observability systems
- Previous Experience: HAL projects or similar ML platforms strongly preferred
- Infrastructure: Kubernetes, ML model deployment and monitoring
- Experience: 4+ years ML engineering, production ML systems, RAG implementation experience
Additional Requirement
- Mandatory: Kubernetes experience and cloud-native development practices
- Methodology: Agile/Scrum experience, distributed team collaboration
- Technical Depth: Senior-level expertise in primary technologies required
- Domain Experience: Previous experience in data platforms, ML systems, or similar enterprise environments preferred
Qualifying Questions
- Does the candidate have Kubernetes and cloud-native development experience?
- Does the candidate have 4+ years ML engineering, production ML systems, RAG implementation experience