AI Engineer
At George Bernard Consulting · Colombo, Sri Lanka
- Data and ML
- Full-time
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Where you can work from
Open to Sri Lanka
“Colombo, Sri Lanka”
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- First seen by us
- 15 October 2026
- Last checked
- 39 hours ago
Job description
From George Bernard Consulting’s job post, as they wrote it.
* Design, develop, train, evaluate, and optimize machine learning and deep learning models.
* Perform feature engineering, data preparation, and dataset validation to improve model performance.
* Translate business and technical requirements into measurable machine learning objectives and success metrics.
* Conduct experiments, benchmarking, and model evaluations to validate and improve ML solutions.
Read the full description
* Develop modular and reusable Python pipelines for data preprocessing, feature extraction, model training, and inference.
* Deploy machine learning models as scalable APIs or microservices with proper versioning and experiment tracking.
* Build and maintain automated training and inference workflows while monitoring model accuracy, latency, and drift in production environments.
* Optimize model inference and data pipelines for performance using CPU/GPU optimization techniques such as batching,mixed precision (FP16), and parallel processing.
* Containerize machine learning applications and implement CI/CD pipelines to support reliable deployments.
* Design and maintain ETL pipelines for processing structured and unstructured data, including image, audio, and video datasets.
* Implement logging, monitoring, and alerting to ensure the reliability, scalability, and continuous improvement of ML services.
* Collaborate
Requirements
* Minimum 2 years of experience in AI, Machine Learning, or Deep Learning development.
* Strong knowledge of supervised and unsupervised learning, deep learning, and transfer learning techniques.
* Experience working with CNNs, RNNs, Transformers, computer vision, and multimodal AI models.
* Proficiency in Python programming and Bash scripting.
* Experience developing REST APIs using FastAPI or Flask.
* Hands-on experience with PyTorch, TensorFlow, Scikit-learn, NumPy, Pandas,OpenCV, Librosa, Hugging Face, OpenCLIP, and TorchVision.
* Familiarity with Docker, GitHub, CI/CD pipelines, MLflow, Weights & Biases, ONNX, and TorchScript.
* Working knowledge of Linux environments, SSH, GPU utilization, multiprocessing, and basic AWS cloud services.
* Experience designing scalable machine learning systems and deploying production-ready ML microservices.
* Strong debugging, troubleshooting, and performance optimization skills.
* Ability to write clean, maintainable, and scalable code following software engineering best practices.
* Strong analytical, problem-solving, and experimentation skills.
* Excellent technical documentation, communication, and collaboration skills.
* Understanding of Agentic AI concepts, including AI agents, workflow orchestration,tool integration, and autonomous task execution using modern LLMframeworks.
* Experience working directly with clients to understand business requirements and translate them into practical, scalable AI/ML solutions.
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