Lead a team of young and bright MLOps Engineers in conducting research, design, and prototype MLOps practices, tools, and frameworks to expedite the machine learning lifecycle at MoneyLion.
Work in collaboration with Data Scientists, Data Engineers, and AI/ML Engineering teams to enhance cross-team workflows and reduce time to deployment.
Improve the level of automation in the development and deployment processes of machine learning....
We are looking for an AI Infra Engineer to support the development and operation of AI infrastructure platforms. The ideal candidate will have a strong background in Backend Engineering, Machine Learning Engineering, or MLOps, with hands-on experience in AI model training/inference deployment, cloud infrastructure, and GPU computing environments.
This role will work closely with algorithm teams to enable efficient utilization of AI computing resources, optimize AI workloads, and ensure reliable deployment of AI training and inference services....
Design and develop artificial intelligence (AI) and machine learning (ML) systems leveraging existing cloud AI services.
Design and build scalable data pipelines to support model training and production with DevOps & MLOps.
Customize and apply Deep Learning and Gen AI models for use cases based on the business needs, data availability, system and infrastructure requirements including edge devices and High Performance Computers (HPCs)....
Design, develop, and optimize generative AI models using deep learning techniques, such as NLP, transformers, GANs, and reinforcement learning, to address specific business needs like personalized customer interactions, automated document processing, and predictive analytics.
Continuously improve model performance by experimenting with various architectures and training methodologies.
Design, develop, and deploy innovative AI applications using LLMs and generative AI techniques....
Drive Real Impact: Lead an assigned project from inception to completion, applying your technical and analytical skills to solve a tangible business challenge (e.g., optimizing rider routing, scaling vendor acquisition).
Accelerated Learning: Deepen your technical expertise (e.g., SQL, Python, campaign execution) by working with real, high-volume data that directly influences our market strategy.
Cross-Functional Collaboration: Navigate a fast-paced, agile environment, collaborating with stakeholders across different seniority levels and backgrounds (Local Teams, Regional Hubs)....
Drive the implementation and optimization of centralized data repositories and data lake architectures, supporting enterprise-wide analytics and reporting.
Identify, diagnose, and resolve data-related issues, ensuring data quality, integrity, and availability for downstream analytics and business applications.
Apply advanced data modeling techniques to solve real-world business challenges, ensuring data consistency, integrity, and performance....