We’re looking for a

Machine Learning Ops Engineer (EMEA Time Zone - Remote)


James Berdigans, CEO of Printify:
“Our mission is to build a platform that lets anyone, anywhere unlock their own personal freedom. The freedom to generate income, be your own boss, and set your schedule. So far we’ve seen more than 6 million people sign up to start their own eCommerce businesses with Printify. Because every order is made on-demand, there’s no risk to getting started, just reward for putting in the work. Our aim is to put this power to build a business into the hands of every person who wants to create their own business.”

At Printify, we are working to be the best platform that lets anyone start an e-commerce business with no investment or risk. To get there, we are looking for an exceptionally driven and innovation-obsessed Machine Learning Operations Engineer who can lead in a greenfield AI space and operationalize scalable machine learning products.

Our Machine Learning team is tasked with shaping and delivering customer-centric machine learning products that help our partners and Printify operations to be more accurate and efficient, and generate for our customers relevant and high-quality text, images, and videos.

As a Machine Learning Operations Engineer, you will have opportunities to build scalable architecture and automate Machine Learning deployment pipelines that use and fine-tune state-of-the-art computer vision and large language models, and reduce their time-to-market. Working closely with data scientists, data engineers, and software engineers, you will have the opportunity to build and influence our machine learning workflows.

Your responsibilities:

  • You will own the architectural design and end-to-end management of machine learning workflows
  • You will implement scalable and reliable solutions for automating feature extraction and training process, deploying models, monitoring, and logging
  • You will ensure that the machine learning production is efficient, secure, scalable, and can handle large volumes of requests without impacting performance
  • You will monitor Machine Learning system health, detect anomalies, resolve issues, and improve resilience
  • You will ensure that machine learning output can be integrated with other tools and technologies used by the company
  • You will think big and long-term: you’ll identify specific and actionable opportunities to make our deployment process more efficient and scalable and collaborate with engineers and data scientists for future innovation
  • You will spread Machine Learning culture across the company, and transfer your knowledge to engineering and data science colleagues
  • Qualifications:

  • You are a doer, not a talker
  • You are a Machine Learning Ops engineer expert with 3+ years of experience managing machine learning systems
  • You have knowledge of machine learning frameworks and libraries
  • You are proficient in Python
  • You have expertise in deploying computer vision and conversational/NLP models
  • You have experience setting up CI/CD pipelines
  • You have been managing and maintaining complex distributed systems on AWS with the following services: Amazon SageMaker, EC2, ECR, Cloud Watch, S3, Lambda, API Gateway
  • You can work in a highly collaborative environment with multiple stakeholders
  • You have a degree in a quantitative field (Computer Science, Mathematics, Machine Learning, AI, or equivalent)
  • What we offer:

  • Stock options so you own a part of Printify
  • Opportunity to work fully remote within EMEA time zones
  • Work from anywhere - our Printify Houses in Riga or Tallinn, your remote home office, or a co-working hub
  • Start your workday anywhere between 7 AM and 11 AM. As long as the job is done and you’re happy and healthy, you can adapt your workflow 
  • Apple MacBook laptop as your standard work equipment, covered by Printify
  • International relocation support for international candidates who wish to work in Riga or Tallinn
  • Access to mentorship, internal meetups, and hackathons both on-site and online
  • A learning budget for your professional development based on a position level and access to our book library
  • Health insurance or health insurance budget depending on your location and contract type
  • Paid health days whenever you need them without a doctor's note depending on your contract type
  • Extra paid days off for wellbeing as well as a celebration day of your choosing
  • Access to the in-house gym or gym allowance depending on your location and contract type

  • Joining Printify means joining an international company with an amazing team that has grown to over 500 people. At Printify, people from over 20 nationalities and with many different backgrounds are working together in our Riga office and around the world.  
    We play to win together, and we always strive for excellence. We want to achieve great things and make a meaningful change in our customers’ lives. Our customers are our most important asset and our compass in showing us the direction to go. We value a strong learning culture and are united by a growth mindset.