📋 Description

• Design, build, and deploy ML/AI/GenAI solutions from concept to production.
• Build and optimize ML models across DL, NLP, forecasting, classification, regression, and anomaly
• Develop GenAI apps using LLMs, RAG pipelines, embeddings, retrieval optimization, reranking, and
• 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/LLMOps, deployment automation, versioning, 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 development with deep learning and ML techniques.
• Experience with NLP, forecasting, classification, regression, and anomaly detection.
• Proven GenAI experience with LLMs and Retrieval-Augmented Generation (RAG).
• Strong embeddings, retrieval tuning, reranking, prompt engineering, and AI/LLM evaluation methods.

🎁 Benefits

• Competitive annual salary of $100,000–$120,000.
• Full-time remote opportunity (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.