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Senior ai engineer
Senior AI Engineer builds and deploys enterprise AI solutions—LLM apps, RAG, agents, and predictive models—using Python, PyTorch, and cloud platforms to automate and enhance decision-making.
Lead AI Agents & Generative AI Architect
Lead the design and implementation of scalable GenAI, LLM, and AI-agent architectures, including RAG and MLOps/LLMOps pipelines, to deliver enterprise solutions and accelerate client adoption.
Data/ML DevOps Engineer
Build and own the data infrastructure and MLOps tooling for Neurode’s brain-computer interface, turning raw neural signals into pipeline-ready training data at petabyte scale.
Machine Learning Engineer - LLMs, RAG & GenAI for Government & Public Sector
Build and deploy LLM-based AI systems for government services using RAG, fine-tuning, and prompt engineering with Python, LangChain, and cloud ML services.
Data/Ml Engineer - €58.000 - €77.000 A Year
Builds and maintains data pipelines, deploys ML models, and improves forecasting for a renewable-energy company.
Data Scientist – Platform AI Squad
Build and deploy enterprise-grade AI applications using Python, LangChain, and AWS cloud services like Bedrock and SageMaker.
AI Infrastructure Engineer
Build and optimize scalable training and inference infrastructure for reinforcement-learning AI agents, deploying across cloud and edge with a focus on latency, throughput, and cost efficiency.
Senior Data Scientist, Enterprise AI #AIDA
Build and deploy enterprise-scale AI/ML models for Singtel, focusing on pricing optimization, anomaly detection, and predictive analytics across network and customer data.
Data Scientist (AI / Machine Learning / Cloud)
Build and deploy production-grade AI/ML models and GenAI solutions on cloud platforms, collaborating with engineers to solve real-world business problems using Python, SQL, and modern ML frameworks.
Data Scientist (AI/ML) | Contract | Financial Services
Design and deploy AI/ML models (Generative AI, NLP, recommendations) for financial services, building scalable pipelines and driving end-to-end solutions from modeling to production.
Senior Data Scientist – Enterprise AI
Design and deploy enterprise-scale AI solutions like pricing optimization and anomaly detection using Python, Spark, and cloud platforms.
Senior Data Scientist, Enterprise AI
Build and deploy enterprise-scale AI/ML models for SingTel, focusing on pricing optimization, anomaly detection, and predictive analytics across network and customer data.
Senior Data Scientist, Marketing AI
Build and deploy AI/ML models to predict customer behavior, optimize marketing campaigns, and personalize telco offerings using LLMs and predictive analytics.
Lead Machine Learning Engineer
Lead the design and delivery of end-to-end scalable machine learning systems using Python, TensorFlow, and cloud platforms, while mentoring teams and shaping ML strategy for high-stakes client projects.
Senior Data Scientist
Build and deploy ML models to forecast commodity flows and detect anomalies using geospatial and maritime data, working end-to-end from prototyping to production on AWS.
Senior Machine Learning Engineer
Design and build production-grade AI/ML platforms and MLOps pipelines for clients, using Python, cloud (GCP/AWS/Azure), Terraform, and tools like Vertex AI and Kubernetes.
Senior Data Engineer (SQL, AWS) - SPVL
Design and optimize high-performance data pipelines and platforms using SQL, Python, AWS, and Spark to power analytics, dashboards, and AI models.
First VP, Senior Data Engineer, Group Technology & Ops
Build and maintain enterprise-scale data platforms (Lakehouse, Kafka, Spark) and AI-ready data products for a major bank, focusing on ingestion, governance, and real-time analytics.
Data Engineer - United Overseas Bank
Builds and optimizes data pipelines and real-time systems for a major bank using Java, Spark, Python, and Hadoop ecosystem tools to support AI-driven analytics and risk scoring.
Manager, Data Engineer, Group Technology & Ops
Build and optimize scalable data pipelines and real-time systems for a major bank using Java, Spark, Python, and the Hadoop ecosystem to support AI-driven analytics and risk scoring.