AI/ML & Forward Deployed Engineer

📋 Description

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

🎯 Requirements

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

🎁 Benefits

• Competitive annual salary of $100,000–$120,000.
• Full-time opportunity with a remote working model.
• 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.
• Collaborative environment with stakeholders and impactful projects.