What are the responsibilities and job description for the Machine Learning Engineer position at Panda International?
We are looking for a Machine Learning Engineer to focus on developing and deploying AI solutions using cloud-native technologies. This opportunity is perfect for someone with extensive experience in machine learning engineering and AI platforms in large-scale environments. The successful candidate will play a key role in ensuring the scalability, availability, and efficiency of AI deployments, while also helping to establish best practices in AI operations.Key Responsibilities : Design and implement end-to-end machine learning pipelines fully integrated within cloud-native architectures, ensuring scalability and robustness.Collaborate closely with data scientists to operationalize machine learning models on cloud AI platforms, transitioning from experimental prototypes to production-grade solutions.Optimize data architectures to improve the performance and scalability of ML systems on cloud platforms such as AWS, Azure, and GCP.Lead the integration of ML models into both new and existing system architectures, focusing on compatibility and high performance in cloud environments, including designing and implementing robust APIs.Continuously monitor, evaluate, and enhance the performance and efficiency of ML systems deployed on cloud infrastructures.Work alongside cloud architecture advisors to leverage advanced features of cloud technologies and AI platforms.Establish and evangelize best practices for AI Operations, including MLOps and LLMOps.Qualifications and Experience : Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.At least 4 years of experience in cloud-native machine learning engineering, supporting large-scale infrastructure environments.Hands-on experience with cloud-based AI platforms such as Azure Machine Learning, Google AI Platform, or AWS SageMaker.Proficient in major cloud services (Azure, AWS, GCP) for deploying ML models and managing data pipelines.Strong programming skills in Python and SQL, along with expertise in cloud-native technologies such as Kubernetes and Docker.Position : Machine Learning EngineerLocation : ChicagoContract : PermanentStart Date : By agreement#J-18808-Ljbffr
