{"id":2585501,"url":"https://alion.io/job/george-bernard-ai-engineer","title":"AI Engineer","company":{"id":4423584,"name":"George Bernard","domain":"georgebernard.co","url":"https://alion.io/company/georgebernard","size_band":"1001-5000","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Manatal","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Colombo, Sri Lanka"],"countries":["LK"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Bash","optional":false},{"name":"CI/CD","optional":false},{"name":"Computer 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Biases","optional":false}],"status":"live","first_seen_at":"2026-10-15T03:42:37Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-15T15:32:06Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Design, develop, train, evaluate, and optimize machine learning and deep learning models.\nPerform feature engineering, data preparation, and dataset validation to improve model performance.\nTranslate business and technical requirements into measurable machine learning objectives and success metrics.\nConduct experiments, benchmarking, and model evaluations to validate and improve ML solutions.\nDevelop modular and reusable Python pipelines for data preprocessing, feature extraction, model training, and inference.\nDeploy machine learning models as scalable APIs or microservices with proper versioning and experiment tracking.\nBuild and maintain automated training and inference workflows while monitoring model accuracy, latency, and drift in production environments.\nOptimize model inference and data pipelines for performance using CPU/GPU optimization techniques such as batching,mixed precision (FP16), and parallel processing.\nContainerize machine learning applications and implement CI/CD pipelines to support reliable deployments.\nDesign and maintain ETL pipelines for processing structured and unstructured data, including image, audio, and video datasets.\nImplement logging, monitoring, and alerting to ensure the reliability, scalability, and continuous improvement of ML services.\nCollaborate \nRequirements\nMinimum 2 years of experience in AI, Machine Learning, or Deep Learning development.\nStrong knowledge of supervised and unsupervised learning, deep learning, and transfer learning techniques.\nExperience working with CNNs, RNNs, Transformers, computer vision, and multimodal AI models.\nProficiency in Python programming and Bash scripting.\nExperience developing REST APIs using FastAPI or Flask.\nHands-on experience with PyTorch, TensorFlow, Scikit-learn, NumPy, Pandas,OpenCV, Librosa, Hugging Face, OpenCLIP, and TorchVision.\nFamiliarity with Docker, GitHub, CI/CD pipelines, MLflow, Weights & Biases, ONNX, and TorchScript.\nWorking knowledge of Linux environments, SSH, GPU utilization, multiprocessing, and basic AWS cloud services.\nExperience designing scalable machine learning systems and deploying production-ready ML microservices.\nStrong debugging, troubleshooting, and performance optimization skills.\nAbility to write clean, maintainable, and scalable code following software engineering best practices.\nStrong analytical, problem-solving, and experimentation skills.\nExcellent technical documentation, communication, and collaboration skills.\nUnderstanding of Agentic AI concepts, including AI agents, workflow orchestration,tool integration, and autonomous task execution using modern LLMframeworks.\nExperience working directly with clients to 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