team will be responsible for the seamless deployment, monitoring, and maintenance of machine learning models in production. Acting as the critical link between the datascience and R&D teams, this team will ensure that ML models transition smoothly from development to production, maintaining high availability, scalability, and … deployments to ensure reliability and efficiency. Continuously improving the architecture, processes, and tools used for model deployment, monitoring, and lifecycle management. Collaborating closely with data scientists to understand and implement model requirements. Partnering with R&D teams to align technical strategies and integrate ML solutions into broader systems. Implementing … and cloud environments. Proficiency with containerization and orchestration tools (Docker, Kubernetes). Experience with version control systems and CI/CD pipelines. Knowledge of data engineering concepts (e.g., ETL, data pipelines). Ability to troubleshoot complex production systems. Strong communication and collaboration skills. More ❯
deployments to ensure reliability and efficiency. Continuously improving the architecture, processes, and tools used for model deployment, monitoring, and lifecycle management. Collaborating closely with data scientists to understand and implement model requirements. Partnering with R&D teams to align technical strategies and integrate ML solutions into broader systems. Implementing … and cloud environments. Proficiency with containerization and orchestration tools (Docker, Kubernetes). Experience with version control systems and CI/CD pipelines. Knowledge of data engineering concepts (e.g., ETL, data pipelines). Ability to troubleshoot complex production systems.. If you have the skills and desire for this, then More ❯
that enhance our manufacturing operations. From optimizing control systems to implementing smart manufacturing projects, your work will directly contribute to a more sustainable future. Data-Driven Insights: Dive into the world of digital technologies, AI, and data science. Gain hands-on experience with the latest tools and techniques … and implement design improvements, upgrade and install control systems, and ensure compliance with international standards. Smart Manufacturing: Get involved in innovative projects that leverage data and technology to transform our manufacturing processes. Cybersecurity: Identify and mitigate potential cybersecurity risks related to our operational technology. Regulatory Knowledge: Learn about working More ❯
