AI/ML & Forward Deployed Engineer

📋 Description

• Design, build, and deploy ML/AI/GenAI solutions from concept to production.
• Develop ML models for deep learning, NLP, forecasting, classification, regression, and anomaly
• Create GenAI apps using LLMs, RAG, embeddings, retrieval tuning, reranking, and prompt engineering.
• Design AI evaluation frameworks for quality, reliability, relevance, and performance.
• Build scalable AI services via REST and gRPC APIs and event-driven architectures.
• Establish MLOps and LLMOps with deployment, automation, monitoring, and lifecycle management.

🎯 Requirements

• 8+ years of professional software engineering or technical engineering experience.
• Strong hands-on experience in Machine Learning and AI/ML Engineering.
• Advanced Python, deep learning, and ML techniques.
• Experience with NLP, forecasting, classification, regression, and anomaly detection.
• Proven GenAI experience using LLMs and RAG architectures.
• Understanding embeddings, retrieval tuning, reranking, prompt engineering, and 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, ML, and GenAI solutions.
• Hands-on exposure to LLMs, RAG, MLOps, LLMOps, Kubernetes, and cloud-native practices.
• Contribute to AI solutions from concept to production deployment.
• Work on technically challenging projects focusing on scalability, security, governance, and