AI/ML & Forward Deployed Engineer

Added
1 month 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 concept to production.
  • Build and optimize ML models for DL, NLP, forecasting, classification, regression, anomaly
  • Develop GenAI apps using LLMs, RAG, embeddings, retrieval, reranking, prompts.
  • Create AI evaluation frameworks for quality, relevance, and performance.
  • Build scalable AI services via REST/gRPC APIs and event-driven design.
  • Establish MLOps/LLMOps with deployment, automation, monitoring, lifecycle.

🎯 Requirements

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

🎁 Benefits

  • Competitive salary: $100,000–$120,000.
  • Full-time remote role.
  • Work on cutting-edge AI and GenAI solutions.
  • Exposure to LLMs, RAG, MLOps, Kubernetes, cloud-native practices.
  • Impactful projects from concept to production.
  • Collaborative environment with stakeholders.
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