Remote Software engineering Jobs • MLOps

VetsEZ is seeking an AI Product Engineer to drive the development and integration of advanced AI capabilities into customer-facing products and platforms. This role is for someone who thrives at the intersection of machine learning, product innovation, and full-stack engineering. You will partner closely with product managers, designers, and engineers to shape intelligent solutions that solve meaningful problems at scale. The candidate must reside within the continental US.

Design, build, and deploy AI-powered software solutions to support Greenlight’s AI initiatives across user-facing products, fraud detection, customer service automation, marketing automation, and more. Develop tools and infrastructure to support advanced AI workflows including agentic architectures as well as future work in distillation and fine-tuning. Partner with product managers and cross-functional engineering teams to bring new AI features to life quickly and iteratively.

We are seeking an experienced Senior AI Engineer to lead cutting-edge AI initiatives that drive efficiency, automation, and intelligent decision-making. This role will focus on developing and deploying AI-powered task automation, workflow guidance, and intelligent analytics. As a technical leader, you will define the AI strategy, spearhead Generative AI, deep learning, and machine learning (ML) solutions, and collaborate with cross-functional teams.

Blue Orange is seeking an experienced Machine Learning Engineer to address expanding opportunities with a deep passion for machine learning, AI tech and innovative data solutions. The candidate will play a crucial role in driving our machine-learning initiatives forward and will have excellent communication skills to collaborate with technical and non-technical stakeholders effectively.

Support AI-driven tool development and R&D efforts, playing a key part in building scalable systems and driving operational excellence. Help ensure our cloud infrastructure enables fast, reliable shipping and iteration of machine learning solutions. Focus on building and scaling backend infrastructure, optimizing cloud environments, and enabling ML teams to deploy models more efficiently.

This role will advance Omada's platform and enablement for analytics, data science, and AI initiatives by designing and building scalable, efficient platforms and architectures. It focuses on creating the technological foundation that empowers analytics, machine learning, and data-driven decision-making across the organization, maintaining reliable infrastructure for AI/ML workloads, using MLOps/LLMOps, automation, and cloud-native technologies.

Build AI/ML Solutions by developing and implementing AI/ML models to solve specific business problems, using Azure Machine Learning and writing code (Python/SQL) for data processing and model training. You will deploy AI solutions on Azure cloud infrastructure, ensuring security and compliance, and collaborate within a crossfunctional team.

The team is responsible for products, tools and services to manage and streamline all AI efforts at LivePerson. This is an opportunity to shape the way we do data science and build AI-based products. Topics include generative AI application building, LLM fine-tuning pipelines, feature extraction and storage, experiment tracking, transformation and training pipelines, deployment and large-scale serving of models. You will be providing engineering support for ML model development.

As a Senior Machine Learning Engineer, you will work closely with applied science practitioners and engineers to rapidly build, deploy, and iterate high-quality ML infrastructure solutions at scale. You will be responsible for ensuring both reliability and effectiveness while developing a dependable and scalable ML infrastructure for all of Gusto.

At Scalable Capital, there is an opportunity within our Data Department for a new ML Engineering role in our growing Data Science team. This role focuses on bridging the gap between software development and Machine Learning, working on applied generative AI use cases. You will have the opportunity to lay the foundations and set the right direction.