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Senior AI Engineer
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Luxoft
Houston, TX (In Person)
Full-Time
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Job Description
Senior AI Engineer Luxoft - 4.4 Houston, TX Job Details 18 hours ago Qualifications AI models Containerization systems Systems integration Predictive modeling analysis NoSQL English AI platforms (beyond public GPTs) Computational framework Microservices Machine intelligence Version control systems Cloud solution engineering Distributed computing DevOps automation Machine learning libraries Machine learning frameworks Generative AI Database software proficiency Full Job Description Project description We are seeking a highly skilled Senior AI Engineer to design, build, and deploy scalable artificial intelligence and machine learning solutions. This role requires strong expertise in developing predictive models, implementing AI-powered applications, and integrating them into enterprise systems. The ideal candidate combines deep technical proficiency with practical experience in cloud platforms and production-grade AI systems. Responsibilities AI/ML Model Development Design, develop, and optimize machine learning and deep learning models Build NLP, computer vision, or predictive analytics solutions Train, test, and evaluate models for accuracy, scalability, and performance Fine-tune pre-trained models (e.g., LLMs, transformers) for business use cases Data Engineering & Processing (Optional) Collect, clean, and preprocess structured and unstructured datasets Work with large-scale data pipelines and streaming data systems Implement feature engineering and data transformation workflows Deployment & MLOps Deploy models into production using APIs, containers, or microservices Work with DevOps to build CI/CD pipelines for ML workflows (MLOps) Monitor model performance, drift, and reliability in production Optimize latency, throughput, and cost efficiency Cloud & System Integration Integrate AI solutions into cloud platforms (AWS) Work with services like SageMaker, Azure ML, Vertex AI, or OpenAI APIs Collaborate with DevOps, backend, and frontend teams for implementation Research & Innovation Stay up to date with emerging AI technologies and frameworks Evaluate and implement GenAI, LLMs, and prompt engineering techniques Prototype and experiment with new AI-driven solutions Skills Must have