AI/ML & Forward Deployed Engineer

Added
29 days ago
Type
Full time
Salary
Upgrade to Premium to se...

Related skills

nlp docker python kubernetes machine learning

πŸ“‹ Description

  • Design, develop, and deploy machine learning, AI, and GenAI solutions from proof of concept through
  • Build and optimize ML models across DL, NLP, forecasting, classification, regression, anomaly
  • Develop GenAI apps using LLMs, RAG, embeddings, retrieval optimization, reranking, prompt
  • Design AI evaluation frameworks for quality, reliability, relevance, and performance.
  • Build scalable AI services via REST, gRPC, and event-driven architectures.
  • Establish MLOps and LLMOps with deployment, automation, monitoring, lifecycle management.

🎯 Requirements

  • 8+ years of professional software or technical engineering experience.
  • Strong hands-on Machine Learning and AI/ML engineering.
  • Advanced Python with 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/LLM eval methods.

🎁 Benefits

  • Competitive annual salary of $100,000–$120,000.
  • Full-time role 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.
  • Chance to contribute from concept to production deployment.
  • Collaborative environment with stakeholders and impactful outcomes.
Share job

Meet JobCopilot: Your Personal AI Job Hunter

Automatically Apply to Engineering Jobs. Just set your preferences and Job Copilot will do the rest β€” finding, filtering, and applying while you focus on what matters.

Related Engineering Jobs

See more Engineering jobs β†’