This role involves leading data analytics strategies in a healthcare setting, including building automated pipelines and deploying agentic AI systems. The candidate will analyze large datasets and collaborate with clinical teams to support research and quality improvement initiatives.
The Data Science Engineer will develop, validate, and deploy machine learning, deep learning, and generative AI models for production environments. The role involves building data pipelines, performing data validation, and maintaining analytical systems using Python and SQL.
The Data Scientist will analyze plasma dry etch process data to troubleshoot customer issues and optimize manufacturing performance using machine learning and statistical modeling. The role involves collaborating with field engineering teams and training local staff on analytics tools like JMP and KNIME.
Job Description: Process new orders and order changes within defined service level agreements using the SAP Order Management System. Manage and update customer master data, including business partner records and…
The Backend Engineer will build and operate scalable systems to power AI-enabled features, focusing on inference pipelines and API development. The role utilizes Python, Node.js, PyTorch, and LLM technologies to ensure high-performance production reliability.
The Business Analyst will bridge the gap between business departments and IT teams to identify, document, and implement process improvements, automation, and AI solutions. The role involves mapping workflows, managing stakeholders, and supporting the integration of systems like SAP.
Job Responsibilities Drive Sales & Marketing for AI Learning Programs Plan and execute monthly marketing activities to attract sign-ups for our Generative AI Learning Program. Strategic Planning & Execution Work on…
The Assistant Project Manager will oversee digital transformation (DX) projects, including AI and supply chain optimization, across manufacturing sites in Southeast Asia. The role involves managing DX initiatives, implementing RPA solutions using Microsoft Power Platform, and coordinating internal training programs.
The Applied AI Engineer will design, develop, and deploy AI-powered features, focusing on LLM integration, prompt engineering, and AI agent workflows. The role involves optimizing system performance and building evaluation frameworks to ensure reliable production-grade AI solutions.
AI / ML & GenAI Solution Development Design, develop, and deploy AI/ML and Generative AI solutions to optimize high-volume drive manufacturing operations. Build machine learning models for predictive maintenance,…
This role requires a combination of hands-on development, solution architecture, project coordination, and agile leadership, with the ideal candidate able to seamlessly shift between technical execution and…
Responsibilities Manages user requests & incidents in a timely manner : Prioritizes User requests based on their urgency, their criticality and their context & ensures adequate and efficient communications toward…