Senior AI / Machine Learning Engineer

Senior AI / Machine Learning Engineer (Generative AI & LLMs) Format: Full-time / Contract / Remote Location: Remote Role Focus: Build and deploy production-grade AI/ML and Generative AI systems, with a focus on LLMs, RAG, personalization, MLOps, and cloud infrastructure. Responsibilities: - Build RAG pipelines, semantic/vector search, conversational AI, and intelligent assistants. - Develop recommendation, ranking, classification, and predictive ML models. - Own end-to-end ML pipelines from data processing and training to deployment and monitoring. - Build MLOps / GenAIOps workflows, CI/CD, GPU inference, and cloud-native AI infrastructure. - Work with Product and Engineering to measure business impact through KPIs and experiments. - Improve AI system scalability, reliability, cost, governance, and performance. Requirements: - 4–5+ years in AI, ML, or Data Science. - Strong Python, SQL, and production ML experience. - Hands-on experience with LLMs, Transformers, embeddings, RAG, and prompt engineering. - Experience with PyTorch/TensorFlow, Hugging Face, LangChain/LlamaIndex. - Strong knowledge of Docker, Kubernetes, MLflow/W&B, CI/CD, AWS, and Terraform. - Experience with Kafka, ETL pipelines, vector databases, and search systems. - Ability to independently take AI projects from idea to production. Nice to Have: - Experience with A/B testing, responsible AI, recommendation systems, regulated environments, or team leadership. - Candidate should be able to work on US time schedule - Good English conversation skill is much much preferred

• remote
• ai
• machinelearning
• generativeai

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