Ai Jobs

About AI Gateway Limited AI Gateway Limited is a Hong Kong–based technology company focused on building next-generation AI infrastructure and production-grade AI systems for real-world commercial use. Position: AI Systems Engineer We are looking for an experienced AI Systems Engineer to join our core engineering team.

Telefónica Tech es la compañía líder en trasformación digital del Grupo Telefónica. La unidad de negocio de IA & Big Data en Telefonica Tech ayuda a sus clientes en su proceso de transformación digital unificando las capacidades de Inteligencia Artificial, Big Data, IoT y Blockchain.

CHALLENGED BY MAKING A DIFFERENCE AND GLOBAL IMPACT ON SUPPLY CHAIN MANAGEMENT? Client Engagement: Support meetings and workshops with clients to understand supply chain/logistics technology needs and day-to-day challenges.

This role combines business analysis expertise, AI/ML knowledge, and data analytics skills, within an agile software development context. Key Responsibilities Analyze and model business processes and information systems within a large institutional environment Gather, document, and validate business and functional requirements Support the design and lifecycle of AI and NLP-based systems Collaborate with technical teams on data analytics, machine learning, and system integration Contribute to the analysis of large-scale, structured and unstructured datasets Use modeling techniques and tools to support system design and decision-making Work closely with stakeholders, developers, and data scientists in an agile environment Required Knowledge & Skills Business Analysis & Methodologies Strong knowledge of business analysis and modeling techniques (use case diagrams, state diagrams, ER models, interaction diagrams, etc.) Good knowledge of BPMN, UML, or equivalent modeling tools Experience with Agile software development methodologies (Scrum, Agile, RUP) Familiarity with Wiki and collaborative platforms Understanding of large organization administrative and business processes AI, Data & Analytics Strong experience in Machine Learning and Natural Language Processing (NLP) Knowledge of the NLP systems lifecycle Experience in corpus-based linguistics Experience with alignment models and classification methods Excellent knowledge of data analytics techniques and tools Experience working with large datasets, non-structured databases, and data lakes Knowledge of Large Language Models (LLMs) Technical Skills Programming experience with Python, R, and/or PERL Strong knowledge of SQL and NoSQL technologies (MongoDB, Hadoop, SQL-based systems) Experience with ETL processes and tools (e.g.

We’re looking for a Data Scientist with a strong AI Engineering focus to design, build, and deploy machine learning solutions that deliver real, measurable impact across our products. Key Responsibilities Design and deploy AI‑driven features in collaboration with product and engineering teams Build, deploy, and maintain production‑ready ML services Monitor model performance, reliability, and accuracy in production Perform data analysis, feature engineering, and model optimisation Apply modern ML techniques, including transformer‑based architectures Stay across emerging AI/ML trends and identify opportunities for application Contribute to Agile delivery through planning and continuous improvement Skills & Experience Strong foundation in Machine Learning and AI Advanced Python skills Demonstrated hands‑on experience with PyTorch and/or TensorFlow Experience deploying ML models to production environments Hands‑on experience with transformer-based architectures and libraries Understanding of model evaluation, optimisation, and monitoring Experience working with SQL and structured data Demonstrated ability to learn new tools, programming languages, and technologies quickly Strong problem‑solving, communication, and collaboration skills Tertiary qualification in Computer Science, Data Science, IT, or equivalent experience Our ideal candidate will also have: Experience with MLOps (versioning, monitoring, automated deployment) Experience with AWS, FastAPI, or Ray Serve Exposure to CNNs and large‑scale model training Postgraduate or industry research experience in ML Strong data wrangling skills (NumPy, Pandas, Jupyter) This is a hybrid schedule position with 3 days per week on-site at our Mulgrave office.

The Position As the AI Solutions Architect, you will be an integral part of FullStack’s AI Lab, driving both AI sales and strategic consulting initiatives. AI Lab Best Practices Help establish best practices for the FullStack AI Lab, guiding a team of data scientists, AI engineers, and business consultants.