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Data Scientist - Applied AI/ML
Build and deploy predictive ML and generative AI solutions—including agentic workflows and LLM pipelines—to automate risk, compliance, and governance tasks across JPMorgan Chase’s business processes.
Principal Core Infrastructure Engineer
Design and deploy cloud infrastructure for AI/ML workloads, collaborating with customers to optimize performance, security, and cost while troubleshooting production issues.
AI/ML Engineer (Python)
Build and deploy AI/ML models in Python, focusing on deep learning for image data and generative AI solutions, while collaborating with client teams in Vienna.
Data Analyst (Power BI, ML)
Build and maintain Power BI dashboards, Python data pipelines, and ML models for a major EU client, ensuring data quality and security while collaborating with business teams.
Data Analyst - Power BI Specialist
Design and build Power BI reports and dashboards for e-Government projects, using DAX, Power Query, and SQL to transform data into actionable insights.
Intelligent Manufacturing, Data and AI Engineer, fluent in English
Design and implement AI-driven intelligent manufacturing systems, robotics, and IoT solutions for EU-funded R&D projects, focusing on production-line optimization and green technologies.
AI Engineer Intern
Build and maintain ML pipelines, engineer features, prototype models (classification, regression, time-series, anomaly detection), and develop AI agents using Python, PyTorch/TensorFlow, and frameworks like LangChain.
Senior Software Engineer - Data Engineering & AI
Builds scalable data pipelines and AI/ML models in Python/SQL, deploys them to cloud, and maintains MLOps workflows using Spark, TensorFlow, and Airflow.
R&D Engineer-Embedded Data Analytics
Develop embedded data analytics and AI prototypes for energy distribution systems, focusing on predictive maintenance and edge ML using C/C++/Python.
AI / ML Engineer
Build production-ready AI systems using cloud AI services, generative models, deep learning, and neural networks for enterprise applications.
AI / ML Engineer
Build and deploy generative AI models, NLP systems, and deep-learning pipelines on cloud platforms to power business decisions and conversational AI.
AI / ML Engineer
Build and deploy AI/ML applications using cloud services like Amazon SageMaker, integrating generative models and deep learning into production pipelines.
AI / ML Engineer
Design and deploy AI/ML applications using cloud services and GenAI models, including deep learning, neural networks, and chatbots, in a production environment.
Forward Deployed Engineer - Cardiff
Build and deploy AI-powered tools (RAG, LLM workflows) to improve efficiency, mentor engineers, and guide AI architecture for a growing product team.
Machine Learning Engineer 4
Build and deploy ML models for search, recommendations, and generative AI across Adobe’s creative tools, processing billions of assets in real time.
Application Development & Support Specialist
Position Overview The AI/ML Engineer is a hands-on technical specialist responsible for designing, building, and operationalizing AI and machine learning capabilities within the MDM platform and its surrounding…
Assistant Manager - Analytics\..RBG - Analytics
Role Purpose The Assistant Manager – AI & Machine Learning will support the development of advanced analytics and AI-driven solutions to enhance digital banking performance, customer engagement, and marketing…
Junior AI Engineer
Builds and deploys scalable machine-learning solutions for enterprise clients, working with MLOps platforms, cloud tools, and AI frameworks like TensorFlow and PyTorch.
Junior AI Engineer - Google
Build and deploy scalable machine-learning solutions on Google Cloud for enterprise clients, collaborating with data scientists and engineers to implement MLOps pipelines and AI observability tools using Python and SQL.