Remote Software engineering Jobs • MLOps

We are seeking a pioneering Senior AI Engineer to be the first dedicated AI specialist in the PAR Retail R&D organization. This is a hands-on builder role focused on architecting and integrating our first generation of AI-powered products and services. You will be responsible for turning business needs into production-ready solutions by leveraging both foundational machine learning and cutting-edge Generative AI.

As a Machine Learning (ML) Engineer in Wolt’s Personalization team you will build the ML infrastructure to develop, train and deploy Wolt’s ranking models that select the content to display to our customers; Work end-to-end, from use case design to implementation, delivery and monitoring of your solutions; Maintain our production ML stack and raise the team’s ML engineering excellence bar. You will also liaise with Wolt’s ML Platform team, contribute to communities, and solve customer problems.

Manage and mentor a team of engineers, ensuring daily progress, alignment, and delivery quality. Ensure consistency in coding standards, documentation, observability, and CI/CD pipelines across all automation projects. Oversee end-to-end delivery of implementation projects — from development to testing, deployment, and production handoff. Collaborate with Strategic Analytics leadership and business units to translate AI/automation concepts into executable technical designs. Contribute and promote evolving best standards and practices.

Seeking a talented and motivated backend engineer with extensive Python and Gen AI experience based preferably on the East Coast (US) to join our growing Development team, the ideal candidate will have a strong foundation in SaaS platform engineering on Microsoft Azure Cloud infrastructure and a keen interest in Generative AI technology. This role will involve both development and production support responsibilities to help us create, deploy, and maintain cutting-edge AI platform.

As a Lead AI Engineer, you’ll be critical in building and scaling intelligent systems that serve millions across the region. You’ll report to the Head of AI, work hands-on as a senior individual contributor, and help grow a lean, high-performance AI team by mentoring, coaching, and hiring.

Contribute to the design and development of the infrastructure responsible for operationalizing Machine Learning at Dave. You will deliver consistent, high-quality Python code for our Machine Learning Platform, including our in-house Feature Store and real-time scoring service. Collaborate closely with Data Scientists and other engineers to understand their needs and challenges, ensuring our platform is meeting their requirements.

Play a pivotal role in building, scaling, and leading the next generation of intelligent systems. This role blends deep technical expertise with hands-on leadership, reporting directly to the Head of AI. You’ll write production code, shape strategy, mentor team members, and help grow a lean, world-class AI engineering team.

This 12-month remote contract role places you on an international machine learning project. You’ll work within a distributed engineering team to design, train, and deploy ML models using modern frameworks like PyTorch. Dijkstrack engineers enjoy access to technical community support, structured delivery processes, and the opportunity to embed within long-term global product teams.

The Principal AI Engineer will design, build, and operate the core ML/AI systems that power self-service, agent assist, knowledge automation, routing, summarization, and safety/observability tooling to deliver improvements in CSAT, deflection, MTTR and agent productivity. You will lead the technical vision and delivery for AI systems across the Customer Success & Support portfolio.

In this role, you'll work closely with our Head of AI and a team of skilled engineers to design and build next-generation intelligent systems that serve millions of users across the region. You’ll contribute directly to AI systems that have real-world impact on millions of users. You’ll gain hands-on experience building and deploying machine learning models in production, as we use AI to democratize access to financial services.