AWS, Azure, Data Architecture, Data Engineering, Data Lake, Data management, Data pipelines, Docker, Google Cloud Platform (GCP), Kubernetes-K8s, Machine learning techniques, MLOps tools, Optimization, Python Programming, Scala Programming, SQL
As an ML Ops and Data Engineer at our Machina Labs, you will play a pivotal role in the integration of machine learning models, data pipelines, and operational processes to optimize the performance and functionality of our robotic systems. You will collaborate closely with our software development, machine learning, and robotics teams to ensure seamless maintenance of our data pipeline and deployment of AI systems.
Responsibilities
Data Pipeline Architecture and Management:
Monitoring and Optimization:
Collaboration and Documentation:
Required Qualifications
$100,000 - $166,000 a year
Salary + competitive equity package. Salary range varies based on level of experience.
Machina Labs is introducing unseen flexibility and agility to the centuries-old manufacturing industry. This unlocks rapid iteration improving the design lifecycle and enabling a higher rate of innovation. Machina Labs’ manufacturing platform combines the latest advances in robotics and AI so great ideas can quickly and affordably turn to reality.