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.
Can this role be interesting for you or anyone you know? If so, please send your CV and contact information to d.sonneveld@panda-int.com, and we will be in touch for a conversation.
Position: Machine Learning Engineer
Location: Chicago
Contract: Permanent
Start Date: By agreement