Remotely
pythonnlpforecastinggenaideep learningllmsragembeddings
Job Description
📋 Description
- Design, develop, deploy ML/AI and GenAI solutions from PoC to production.
- Build and optimize ML models for DL, NLP, forecasting, and anomaly detection.
- Develop GenAI apps with LLMs, RAG pipelines, embeddings, retrieval, and prompts.
- Design AI eval frameworks for quality, relevance, and performance.
- Build scalable AI services via REST/gRPC and event-driven apps.
- Establish MLOps and LLMOps across deployment, monitoring, and lifecycle.
🎯 Requirements
- 8+ years of professional software/technical engineering
- Hands-on ML / AI engineering expertise
- Advanced Python with DL/ML techniques
- Experience in NLP, forecasting, classification, regression, anomaly detection
- GenAI apps using LLMs and RAG architectures
- Embeddings, retrieval tuning, reranking, prompt engineering, evals
🎁 Benefits
- Competitive salary $100,000–$120,000
- Full-time remote role in Germany
- Work on cutting-edge AI and GenAI solutions
- Hands-on with LLMs, RAG, MLOps, Kubernetes, cloud practices
- Impactful AI solutions from concept to prod
- Collaborative environment with stakeholders
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