AI/ML & Forward Deployed Engineer

Added
3 hours ago
Type
Full time
Salary
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nlp docker kubernetes machine learning ci/cd

πŸ“‹ 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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