AI/ML & Forward Deployed Engineer

Added
1 day ago
Type
Full time
Salary
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Related skills

nlp docker python kubernetes machine learning

πŸ“‹ Description

  • Design, develop, and deploy ML/AI/GenAI solutions from PoC to production
  • Build and optimize ML models for DL, NLP, forecasting, classification, regression
  • Develop GenAI apps with LLMs, RAG, embeddings, retrieval optimization, reranking
  • Design AI evaluation frameworks for quality, reliability, relevance, performance
  • Build scalable AI services via REST, gRPC, event-driven architectures
  • Establish MLOps/LLMOps; automation, versioning, monitoring, lifecycle

🎯 Requirements

  • 8+ years of professional software or technical engineering
  • Strong hands-on ML/AI engineering experience
  • Advanced Python; deep learning and ML techniques
  • Experience with NLP, forecasting, classification, regression, anomaly detection
  • Proven GenAI app experience using LLMs and RAG architectures
  • Embeddings, retrieval tuning, reranking, prompt engineering, AI evaluation

🎁 Benefits

  • Competitive annual salary of $100,000–$120,000
  • Full-time remote role
  • Opportunity to work on cutting-edge AI and GenAI solutions
  • Hands-on exposure to LLMs, RAG, MLOps, LLMOps, Kubernetes
  • Contribute from concept to production deployment
  • Work on scalable, secure, governed AI projects
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