Machine Learning Engineer Jobs in Sri Lanka

Rwazi is a global consumer intelligence platform. Our go-to-market engine still runs on too many manual workflows — prospecting, enrichment, campaign ops, content production, reporting. Your job is to absorb those workflows into AI systems that run themselves. You will not write strategy decks. You

Senior Machine Learning Engineer About CloudX At CloudX we’re building a new supply-side advertising platform for mobile publishers. We’re convinced that an AI-native product will significantly advance the state of the art in mobile advertising; we recently raised a $30M Series A in order to bring t

About the role Build and ship production-grade applications powered by large language models and generative AI. Responsibilities Design and build LLM-powered applications such as RAG systems, chatbots and content generation tools Develop prompts, retrieval pipelines and evaluation frameworks Fine-tu

About the Role We are seeking an experienced Level 3 Engineer to serve as a senior technical resource across multiple client environments. You will take ownership of complex escalations, deliver advanced troubleshooting, and help strengthen the broader technical team through coaching, knowledge shar

Design, develop, and deploy production-grade machine learning models for financial and taxation use cases Build and maintain scalable ML pipelines using SAS Viya and Python-based ML frameworks Lead feature engineering and data preprocessing for structured financial and taxation datasets Train, tune,

Develop and implement machine learning models for financial and taxation applications Collect, clean, preprocess, and transform structured financial datasets for modeling Train, evaluate, and optimize ML models using SAS Viya and Python-based libraries Assist in building and maintaining ML pipelines

Lead the design, development, and implementation of scalable Generative AI and Agentic AI solutions Design and develop API-based AI applications and integrations using modern LLM technologies Build and maintain AI infrastructure, data pipelines, and ETL workflows for structured and unstructured data

Design, develop, and implement Generative AI solutions that address business and analytical use cases Build scalable, API-driven applications integrating Large Language Models using cloud-based services Apply prompt engineering techniques to optimise LLM performance, accuracy, and relevance Implemen

Job Overview Are you passionate about building real-world AI solutions and working with fast-moving global startups? Were looking for AI/ML Engineers who can bridge the gap between theory and practical deployment engineers who are eager to build, deploy, and scale AI systems that power real-world pr

Develop, train, test, and deploy machine learning models. Build data preprocessing, feature engineering, and data validation pipelines. Work with large datasets and ensure data quality and consistency. Implement predictive analytics, classification, NLP, computer vision, or recommendation models dep

Responsibilities Design, build, and deploy AI/ML and Generative AI models and solutions. Write clean, efficient Python code to support model development and deployment. Work with large datasets to train, fine-tune, and evaluate AI/ML models. Build and integrate Generative AI solutions (e.g., LLM-bas

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.