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