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Only W2- Senior Data Scientist
Senior Data Scientist role building and deploying ML/DL models and Gen AI solutions, with strong SQL for Oracle, GCP, or AWS data analysis.
Machine Learning Engineer
Build and maintain ML infrastructure and CI/CD pipelines to deploy scalable, production-ready AI models using Python and Google Cloud Platform.
AI/ML architect
Design and implement scalable ML pipelines and agentic AI systems, from data ingestion to production deployment, using Python and MLOps tools.
Solutions Architect
Design and implement cloud infrastructure and MLOps solutions for AI teams, advising clients on GPU cloud technologies and optimizing ML pipelines using tools like Terraform, Kubernetes, and Python.
Senior Data and AI Engineer
Build and deploy computer-vision AI models for Philips’ Azurion Eye clinical platform, using CNN architectures and MLOps pipelines on AWS and Kubernetes.
Data and AI Engineer
Build and deploy computer-vision models for an AI-enabled medical imaging platform, using PyTorch/TensorFlow and MLOps tools to track, optimize, and monitor models in real time.
Manager ai products
Role : The Manager AI Products is the primary builder within the AI Hub, responsible for turning architectural designs and product specifications into working, production-deployed AI systems. This role spans the full…
AI Engineer – Schwerpunkt Generative KI Systeme (m/w/d)
Develop generative AI systems and LLMs for Thalia’s e-commerce platform, focusing on model training, fine-tuning, and deployment using PyTorch, TensorFlow, and MLOps in GCP.
Data Science Expert
Build and deploy production-grade reinforcement-learning models for mobile-game personalization, focusing on Bayesian Multi-Armed Bandits and scalable statistical methods.
Senior Manager, Data Science and Agentic AI
Build and scale predictive models and LLM-powered AI agents on Azure/Fabric to drive commercial decisions in LATAM, using Python, RAG, and MLOps.
Senior Manager, Machine Learning Operations
Lead MLOps at Coca-Cola, deploying and scaling ML models on Azure, automating pipelines, and mentoring engineers to turn data into production-grade insights.
Machine Learning Architect
Design and deploy scalable ML systems on Azure, automating pipelines with GitHub Actions and Kubernetes to turn data into production-grade models for a global beverage leader.
Senior Data and AI Platform Engineer
Senior engineer building and running cloud data platforms (Snowflake, Microsoft Fabric, Databricks) and BI tools (Power BI, Tableau), setting reliability, CI/CD, security, and governance standards for production analytics.
Data and AI Platform Engineer
Build and maintain cloud data platforms (Snowflake, Microsoft Fabric, Databricks) and BI tools (Power BI, Tableau) while supporting CI/CD, security, and AI/ML enablement for analytics teams.
AI Engineer – Schwerpunkt Generative KI Systeme (m/w/d)
Build and deploy generative AI systems using RAG, fine-tuning, and MLOps to automate pipelines and integrate models into APIs and cloud services.
Data Scientist
Build and deploy predictive, prescriptive, and Agentic AI models to drive revenue growth, demand forecasting, and commercial decisions across ASEAN & South Pacific markets using Python, Azure AI, and Databricks.
Principal AI Engineer
Build and deploy production-grade AI systems using LLMs and ML pipelines on AWS, focusing on end-to-end solutions rather than prototypes.
Agentic AI Evaluation Scientist - Responsible AI & MLOps
Designs and runs evaluation frameworks for conversational and autonomous AI agents in commerce, embedding tests into MLOps and CI/CD to measure task completion, tool-use, bias, and customer experience.
AI Engineer
Build and deploy AI models, LLM tools, and agentic workflows to solve operational problems in a large FMCG/retail business, owning full delivery cycles and scaling AI adoption.
Data Engineer – AWS SageMaker Unified Studio-Australia Only
Build and maintain scalable AWS data pipelines and ML platforms using SageMaker, PySpark, Airflow, and Redshift to power HR analytics and AI features.