Explore roles
Description
Description
DigitalGenius (DG) is a venture-backed artificial intelligence company bringing practical applications of deep learning and AI to some of the largest E-Commerce customer service operations in the world as well as high-growth companies. We’re a dedicated team of thoughtful and hard-working people committed to transforming customer service through the application of artificial intelligence.
Role
The continuous improvement of our products and the range of innovation projects we are committed to, require us to scale our Machine Learning team. We are searching for an MLOps Engineer to join our core AI Team. This is a highly technical role for an outstanding individual who can take ownership of projects and start new initiatives.
As an MLOps Engineer, you will be responsible for designing, deploying, and maintaining scalable infrastructure and processes that support our AI systems in production. Your time will be divided between improving our ML infrastructure, building deployment and monitoring systems, and working closely with our ML engineers and product teams. This is an excellent opportunity for those with strong Engineering and DevOps capabilities and a deep interest in operationalising AI solutions. We are looking for someone with complementary skills that extend into infrastructure and observability, preferably with experience in E-Commerce.
The AI team owns all ML-related research, implementation and maintenance. In practice, this means keeping up to date with best practices in production ML, developing and supporting scalable infrastructure, and enabling faster and safer experimentation and deployment.
Responsibilities
Proactive approach with team members and clients
Continuous improvement of ML infrastructure and operations
Take ownership of the deployment and monitoring pipelines within your expertise
Contribute to the ongoing innovation R&D projects by enabling production readiness
Maintain and implement CI/CD pipelines, observability, and infrastructure for ML services
Requirements
Degree in relevant field with 3+ years of industry experience
Strong Technical Skills: Python, AWS, Docker, Terraform
Experience deploying and maintaining machine learning models in production environments
Familiarity with MLOps best practices: versioning, monitoring, model registries, CI/CD
Excellent organisation skills, working independently and ability to deliver results for deadlines
A proactive, innovative, pragmatic approach to problem-solving and an ability to think critically and objectively
Good customer-facing skills and ability to communicate technical concepts to technical and non-technical audiences
Experience in E-Commerce space
Benefits
Competitive Salary
Generous vacation time (25 days)
Yearly “DG Recharge Week” in addition to annual leave allowance
Freedom to experiment with your own ideas
Environment to develop your skills without bureaucracy or red tape
Monthly fitness stipend of $210 or fully paid Third Space Membership.
On going subscription to Mental Health Support Platform
We are an equal-opportunity employer and value diversity at our company. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Role tech stack
Culture overview
DigitalGenius fosters a values-driven, high-impact culture where curiosity, ownership, and collaboration are at the core. The team is guided by five key principles: Keep it Real, Stay Nimble, Win/Lose Together, Be Proactive, and Create Love—reflecting a shared commitment to honesty, adaptability, team accountability, initiative, and care for customers. Employees are trusted to take ownership, move quickly, and challenge the status quo, all while working in a supportive, transparent environment. Whether remote or in-office, the team operates with mutual respect, clear goals, and a drive to make a real difference in the way ecommerce brands support their customers.
Employee benefits
Extra seasonal holidays
Flexible Hours
Flexible Working
Gym Membership
Wellbeing Programme
Office vibe
Clubs & Meetups
Remote-first
Team Building Days
Location
Tech at
DigitalGenius
Tech overview
Our journey began in 2014, building marketing chatbots ahead of the first wave of their popularity. We deployed these to big enterprises like BMW, Panasonic, Unilever, and more.
We were the first to offer deep learning AI embedded within Salesforce to make customer service agents more productive. This product has been adopted by KLM, Thomson Reuters and others. On the back of that success, we raised over $25 million from notable VCs like Salesforce Ventures, Runa, SquareOne, MMC, Lerer Hippeau, Lowercase.
However, our time spent with customer service agents led to a secret insight - for effective issue resolution, AI needs robust tools, data, and advanced process automation.
This insight is at the core of our mission, which we embarked on in 2020 and now accelerating with generative AI.
Company tech stack
