Jobs → Engineering → AI/ML Engineer

AI/ML Engineer

Surya ArumugamUnited StatesMIDPosted 25m ago
PythonMachine LearningDeep LearningGenerative AI/LLMsNLPTensorFlowPyTorchRAGAI/ML Model DevelopmentJavaScriptNode.jsTypeScriptGuidewireAgentic AIGitHub Actions
About the Role We are looking for an AI/ML Engineer to join our team in Dallas, TX. This role involves developing and implementing AI/ML solutions using Python, TensorFlow, and PyTorch. Key Responsibilities • Analyze business and technical requirements and design scalable AI/ML solutions aligned with enterprise architecture, security, privacy, and responsible AI standards. • Develop, train, evaluate, tune, and document machine learning, deep learning, NLP, and Generative AI models using Python, TensorFlow, and/or PyTorch. • Design and implement LLM-based applications and Retrieval-Augmented Generation pipelines using embeddings, vector databases, prompt engineering, orchestration frameworks, and appropriate evaluation methods. • Collaborate with data engineering, application, cloud, DevOps, QA, architecture, product, and business teams to integrate models into enterprise platforms through APIs and microservices. • Implement production-readiness practices including automated testing, CI/CD, containerization, model versioning, monitoring, observability, drift detection, performance optimization, troubleshooting, and continuous improvement. Requirements • Strong hands-on expertise in Python and end-to-end AI/ML model development, including data preparation, feature engineering, training, evaluation, optimization, and production integration. • Proven experience with machine learning and deep learning algorithms, model architectures, experimentation, and frameworks such as TensorFlow and/or PyTorch. • Hands-on experience building Generative AI and Large Language Model solutions, including prompt engineering, model orchestration, evaluation, guardrails, and enterprise integration. • Strong knowledge of Natural Language Processing, embeddings, semantic search, and Retrieval-Augmented Generation architectures for grounded AI responses. • Ability to translate business requirements into scalable AI/ML solutions and collaborate with architects, data engineers, application teams, QA, and business stakeholders. • Experience Required: Above 11 years

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