AI/ML Solutions Lead
EUR 67K-93K (estimate) Senior-level Full Time
Tasks
- Architect LLM-powered applications
- Build RAG pipelines
- Define escalation logic and audit mechanisms
- Design and build multi-agent systems
- Develop memory enabled systems
- Develop production ML infrastructure
- Ensure observability and monitoring
- Implement human-in-the-loop controls
- Implement tool augmented agents
- Lead AI solution delivery end to end
- Lead and develop AI ML engineers
- Manage state and task decomposition
- Set guardrails and safety boundaries
- Support business development proposals and demos
- Support practice development reusable assets
- Translate client requirements into technical plans
Perks/Benefits
- N/A
Skills/Tech-stack
AI Foundry | AWS Bedrock | Amazon SageMaker | Autogen | Azure | Azure AI | Azure AI Foundry | Azure ML | Bias detection | CI/CD | Computer Vision | CrewAI | Diffusion | Evaluation | Experiment tracking | Feature Stores | Fine Tuning | GCP Vertex | GCP Vertex AI | Langchain | Langgraph | Language Models | Large Language Models | MLOps | Model Governance | Model Monitoring | ONNX | Prompt engineering | PyTorch | Python | Responsible AI | Retrieval-Augmented Generation | Semantic Kernel | Series forecasting | Time Series | Time Series Forecasting | Transformer | Vertex AI
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | AI Solutions | AI Solutions Lead | Engineer | Lead | Learning Engineer | Machine Learning Engineer | Solutions Lead
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