Top Machine Learning Jobs in New Zealand
The Senior AI/ML Engineer will design and implement AI/ML models to analyze blockchain data, collaborate with teams to integrate these models into Nansen's platform, mentor junior engineers, and apply innovative solutions to drive decision-making for crypto investors.
As a Principal ML/AI Engineer, you will design and develop components for Autodesk's Enterprise Data Platform while working with a highly skilled team to enhance data capabilities for generative AI solutions, ensuring quality and scalability.
The AI/ML and MLOps Field Engineer at Canonical will assist global companies in adopting AI using open source technologies on cloud infrastructures, primarily focusing on Linux and Kubernetes. Responsibilities include architecting cloud solutions, engaging in customer interactions, and solving complex data architecture problems using various data technologies.
The DDF Engineering Lead will oversee a team of data engineers and DevOps engineers, driving the delivery of data products and implementing DataOps practices. Responsibilities include collaborating with cross-functional teams, optimizing data pipelines, ensuring adherence to governance policies, and promoting data quality. This role requires significant technical leadership and stakeholder engagement to maximize data utilization for business value.
As a Rust Engineer at Hiveon, you will build infrastructure for AI data centers and develop agents to interface with hardware. Your role will involve extensive programming in Rust and other low-level languages, contributing to a new AI/ML product aimed at democratizing GPU computing.
As a Software (ML Product) Engineer at iterative.ai, you will enhance user workflows for DVC, collaborate with technical product managers, and improve MLOps practices within ML teams. Responsibilities include optimizing the tool’s usability and driving projects like dvclive, emphasizing software engineering skills and communication.
The Senior Statistical Data Scientist will provide technical leadership in developing analytics solutions, conduct statistical analysis, build models, and collaborate with teams to integrate statistical insights into workflows. The role requires mentoring team members and applying advanced statistics and machine learning to solve business problems.
As a Statistical Data Scientist, you will develop innovative data solutions, conduct statistical analysis, build predictive models, and create visualizations to support business decisions. You'll work cross-functionally to integrate data science solutions into existing workflows and provide expert guidance on data projects.
The Golang Engineer will contribute to the development of AI and ML products, focusing on decentralized GPU computing. Responsibilities include back-end development, designing complex systems, and ensuring high-load system performance, while collaborating in a fast-paced, innovative environment.
As an Engineering Manager, you will lead multiple product teams focused on vegetation management and data ingestion by managing a team of engineers. You will foster a collaborative environment, provide support and coaching, make strategic technical decisions, and improve engineering practices while aligning with product managers' goals.
The Full-stack Python Engineer will work on building and maintaining an AI/ML platform by developing full-stack web applications, integrating front-end frameworks, creating REST APIs, and participating in database design and deployments using containerization on cloud services. Collaboration across teams and troubleshooting support requests are also key duties.
The Senior Full-stack Python Engineer will develop and maintain AI/ML platform components, building full-stack web applications and REST APIs, mentoring engineers, and managing database designs and deployments. The role requires experience with front-end frameworks and cloud technologies.
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