Senior Machine Learning Engineer

5 days ago

Metro Manila Philippines Grundfos IS Support & Operations Centre Phils. Inc. Full time

Ortigas- Hybrid What is the Job all about? We're hiring Join our team as a Machine Learning Engineer where you'll play a key role in productionizing, monitoring, and maintaining cutting‑edge machine learning and AI services. This role also offers an exciting opportunity to contribute to model development, working alongside a talented team to bring innovative solutions to life. If you're passionate about building scalable ML systems and driving real‑world impact through AI, we’d love to hear from you Your main responsibilities: Implement production‑grade machine learning services in alignment with established technical standards. Develop standardized solutions for model deployment and model monitoring to ensure scalability and reliability. Drive the development and refinement of technical standards for ML systems and services. Collaborate closely with data scientists to transition prototype models into production‑ready solutions. Work with data engineers to ensure high‑quality training data pipelines are in place. Support external spoke teams by assisting in model deployment where internal capabilities are limited. Your background: Bachelor’s degree in computer science, engineering or closely related field. At least 2 years of industry experience in building machine learning systems. Solid experience in using Python. Excellent software development skills and knowledge of best practices. Experience in having ML services in production (MLOps). Solid experience working in cloud environment and ML platforms, preferably in Azure ML Studio and Azure cloud. What’s in it for you? Whether it’s developing skills or advancing your expertise even further, we’ll support you with continuous learning and development opportunities, to help discuss and steer your long‑term Grundfos career path. You’ll be welcomed from day one into an inclusive, trusting environment guided by six core values. Development opportunities in an international environment. People‑ and value‑focused organization culture. Social, team, and sport events. Training opportunities. Do you want to learn more? If this job sounds appealing, please send your resume and cover letter by clicking “Apply”. We look forward to hearing from you. We look forward to hearing from you. #J-18808-Ljbffr

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