AI Ops engineer that ensures that AI systems run smoothly and scale effectively

Location: Stockholm or Göteborg

Are you a hands-on problem solver with a passion for optimizing AI systems?

We at Algorithma, a fast-growing AI consultancy with offices in Stockholm and Gothenburg, are looking for an AI ops engineer to ensure the smooth operation, deployment, and maintenance of cutting-edge AI solutions. As a crucial part of our team, you’ll work at the intersection of AI development, IT operations, and MLOps to bring AI systems to life.

At Algorithma, we pride ourselves on our values of curious professionalism, collaborative growth, and positive impact. We deliver transformative results by fostering a culture of innovation and responsibility, ensuring our AI solutions are not just effective but also ethical and sustainable.

Key responsibilities

Deployment and automation

  • Automate the deployment of AI/ML models into production environments using CI/CD pipelines.

  • Ensure scalability, reproducibility, and seamless integration of code and model updates.

Monitoring and maintenance

  • Monitor AI systems for performance, accuracy, and uptime in production.

  • Diagnose and resolve issues such as model drift, degradation, or pipeline failures.

  • Implement logging, alerting, and monitoring systems for workflows.

Infrastructure management

  • Design and maintain AI infrastructure, including cloud environments, GPUs, and distributed systems.

  • Optimize resource allocation to balance cost efficiency and performance.

  • Utilize containerization and orchestration tools like Docker and Kubernetes.

Data pipeline management

  • Ensure the reliability of data pipelines feeding AI systems.

  • Optimize workflows for large-scale and real-time data needs.

  • Collaborate with data engineers to integrate new data sources and maintain data governance.

Collaboration and communication

  • Work with data scientists, developers, and IT teams to deploy AI solutions.

  • Translate research models into scalable, deployable applications.

  • Communicate system performance and recommend optimizations to stakeholders.

Security and compliance

  • Implement protocols to secure AI systems and data.

  • Ensure compliance with regulations for data handling and AI usage.

  • Manage authentication, authorization, and encryption for AI services.

Performance optimization

  • Tune models, pipelines, and infrastructure for maximum efficiency.

  • Conduct audits and stress tests to identify and resolve bottlenecks.

  • Employ caching, parallelization, and other techniques to reduce latency.

Model lifecycle management

  • Oversee the lifecycle of AI models, from training to retirement.

  • Implement version control and rollback mechanisms.

  • Support retraining workflows to address model drift or new business needs.

What you bring

  • Proficiency in Python and experience with frameworks like TensorFlow, PyTorch, or Scikit-learn.

  • Hands-on expertise with MLOps tools (e.g., MLflow, Kubeflow) and DevOps (e.g., Jenkins, Git, Docker).

  • Hands-on expertise with cloud platforms like AWS, Azure, or Google Cloud.

  • Experience in data pipeline tools like Apache Airflow and databases (SQL/NoSQL).

  • Strong collaboration and communication skills, with the ability to bridge AI research and real-world application.

  • Proficiency in monitoring tools such as Prometheus, Grafana, or DataDog.

  • Fluency in Swedish and English.

Bonus points

  • Experience in on-premise AI infrastructure

  • Certifications in cloud platforms or MLOps tools.

What we offer

  • A dynamic role at the forefront of AI operations.

  • A collaborative environment focused on growth and innovation.

  • Competitive salary and benefits.

Why Algorithma?

At Algorithma, we blend technical expertise with strategic insight to empower our clients with innovative solutions. Our inclusive culture emphasizes collaboration, mutual support, and professional growth. We value diversity and are dedicated to creating a workplace where everyone feels welcome and respected.

How to apply: Interested candidates are encouraged to submit their resume and cover letter outlining their qualifications and relevant experience. Please include "AI ops engineer" in the subject line. Apply by sending in your application to joinourteam@algorithma.se. If you have questions, please reach out to jens.eriksvik@algorithma.se or kristofer.kaltea@algorithma.se - we are happy to discuss.

If you’re passionate about ensuring AI systems are reliable, scalable, and impactful, we’d love to hear from you!