Senior AI Engineer

Project descriptionWe 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.ResponsibilitiesAI/ML Model DevelopmentDesign, develop, and optimize machine learning and deep learning modelsBuild NLP, computer vision, or predictive analytics solutionsTrain, test, and evaluate models for accuracy, scalability, and performanceFine-tune pre-trained models (e.g., LLMs, transformers) for business use casesData Engineering & Processing (Optional)Collect, clean, and preprocess structured and unstructured datasetsWork with large-scale data pipelines and streaming data systemsImplement feature engineering and data transformation workflowsDeployment & MLOpsDeploy models into production using APIs, containers, or microservicesWork with DevOps to build CI/CD pipelines for ML workflows (MLOps)Monitor model performance, drift, and reliability in productionOptimize latency, throughput, and cost efficiencyCloud & System IntegrationIntegrate AI solutions into cloud platforms (AWS)Work with services like SageMaker, Azure ML, Vertex AI, or OpenAI APIsCollaborate with DevOps, backend, and frontend teams for implementationResearch & InnovationStay up to date with emerging AI technologies and frameworksEvaluate and implement GenAI, LLMs, and prompt engineering techniquesPrototype and experiment with new AI-driven solutionsSkillsMust haveTechnical SkillsProgramming: Python (preferred), Java, or ScalaML Frameworks: TensorFlow, PyTorch, Scikit-learnAI/GenAI: prompt engineering (preferred), Claude CLI / Code(preferred), LLMs(preferred) Hugging Face, OpenAI APIsData Tools (Optional): Pandas, NumPy, SparkAPIs & Microservices developmentVersion control (Git)Cloud & DevOpsExperience with AWSContainers: Docker, ECS/EKSCI/CD pipelines (GitHub Actions Or Jenkins Or GitLab CI)Data & SystemsDatabases: SQL, NoSQLFamiliarity with data pipelines and ETL processes (Optional)Understanding of distributed systemsNice to haveAirlines experienceOtherLanguagesEnglish: C1 AdvancedSenioritySeniorHouston, United States of AmericaReq. VR-123296PythonCross Industry Solutions28/07/2026Req. VR-123296