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This role is a 6-month full-stack contract supporting a cancer screening project by building secure, serverless APIs and web portals using AWS, Node.js/Python, and modern frontend frameworks. The developer will integrate with Ontario healthcare systems and standards like HL7 FHIR to manage digital correspondence.
The Generative AI Expert will lead the AI strategy and development for a large-scale corporate services organization in Dhahran, Saudi Arabia. The role involves designing and deploying generative AI and LLM-based solutions to improve business performance across diverse departments.
This role involves designing and implementing AI-driven automation workflows, chatbots, and virtual agents using platforms like N8n, Make.com, and Zapier. Engineers will integrate LLMs and APIs to optimize business operations across various industries in a fully remote capacity.
The AI/ML Engineer will design, train, and deploy AI models, including LLMs, to support healthcare applications. The role involves building MLOps pipelines, optimizing model performance, and collaborating with cross-functional teams to transition research into production.
The AI/ML Engineer will design and deploy production-grade machine learning systems for a healthcare procurement platform, focusing on computer vision, pricing engines, and predictive analytics. The role requires strong Python skills and experience with ML frameworks to build models that improve efficiency in the UK healthcare system.
The AI/ML Engineer will develop and deploy computer vision, pricing, and predictive procurement models for the ZenroxIQ healthcare platform. This role involves building production-grade ML systems using Python and various AI frameworks to optimize medical equipment procurement.
Senior ML engineer builds and trains NLP models (e.g., BERT) using Python and deep-learning frameworks to solve text-classification and language-understanding tasks.
The Data Analyst will design, deploy, and maintain end-to-end data, AI/ML, and cloud solutions while managing enterprise data platforms. The role involves developing ETL processes and collaborating with stakeholders to implement data-driven solutions using Agile methodologies.
The AI Engineer will design and implement AI solutions, specifically focusing on RAG pipelines, document processing, and data transformation for an EDMS platform. The role involves developing and optimizing AI models, integrating them with data pipelines, and collaborating with cross-functional teams to deliver scalable features.
The Database Administrator will manage data migration from legacy systems to a new data warehouse, develop data mapping and transformation rules, and support Power BI reporting. The role involves designing data architecture and ensuring data integrity within a public sector environment.
Design, develop, and deploy AI agents, LLM-powered applications, RAG pipelines, NLP systems, and Voice AI integrations primarily using Python and LLM APIs.
Design and build a unified AI framework that integrates multiple agentic systems into a single autonomous business assistant, leveraging NLP, machine learning, multi-agent architectures, and cloud infrastructure.
Analyzes large datasets (especially from ERP systems), develops and validates machine learning models, and translates AI-driven technical findings into actionable business insights and dashboards for stakeholders.
Builds and optimizes AI-driven voice and chat agents for customer interactions, focusing on intent classification, dialogue flows, and response generation while collaborating with QA and product teams.
Design and execute scenario-based tests for AI-driven voice and conversational agents, evaluating behavior, intent recognition, and response accuracy across communication platforms using tools like Amazon Connect, Twilio, Dialogflow, and Lex.
AI/ML talent pool for recruitment agency matching candidates with cutting-edge AI roles (ML engineers, data scientists, NLP, CV, robotics, etc.).
Senior Data Scientist at an HR tech company in Bangkok, building and maintaining core features like CV parsing, candidate recommendation engines, and social media enrichment using Python, NLP, and machine learning on AWS.
The Machine Learning Engineer will collaborate with stakeholders to develop and deploy ML models into production using MLOps best practices. The role focuses on building scalable data pipelines, ensuring AI governance compliance, and automating model monitoring and retraining.
The Data Scientist will manage the end-to-end data science lifecycle, including developing and deploying AI and LLM solutions. The role requires proficiency in Python or R, deep learning frameworks, and NLP techniques to solve business challenges.
The AI Engineer will research emerging technologies and build Proof of Concepts (PoCs) to optimize maritime and logistics operations using AI, machine learning, and generative AI models. The role involves collaborating on digital transformation initiatives and maintaining technical documentation for innovative solutions.
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