Remotely
machine learningdockerkubernetesnlpgenaillmsci/cdrag
Job Description
📋 Description
- Design, develop, and deploy ML/AI/GenAI solutions from concept to production.
- Build and optimize ML models across DL, NLP, forecasting, classification, regression, anomalies.
- Develop GenAI apps using LLMs, RAG, embeddings, retrieval, reranking, prompts.
- Design AI evaluation frameworks for quality, relevance, performance.
- Build scalable AI services via REST/gRPC APIs and event-driven tech.
- Establish MLOps/LLMOps, automate, version, monitor, lifecycle manage.
🎯 Requirements
- 8+ years of professional software/technical engineering experience.
- Strong hands-on ML/AI engineering background.
- Advanced Python, DL/ML techniques.
- Experience NLP, forecasting, classification, regression, anomaly detection.
- Proven GenAI experience with LLMs and RAG architectures.
- Embeddings, retrieval tuning, reranking, prompt engineering, AI/LLM evaluation.
🎁 Benefits
- Competitive annual salary of $100,000–$120,000.
- Full-time opportunity with remote working model.
- Opportunity to work on cutting-edge AI and GenAI solutions.
- Hands-on exposure to LLMs, RAG, MLOps, Kubernetes, and cloud-native practices.
- Contribute to AI solutions from concept to production deployment.
- Work on scalable, secure, observable AI systems with stakeholders.
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