LEAD AI ENGINEER is a AI Engineer role (full-time). with Ants. in STOCKHOLM, SE. Imported listing (source: jobbsafari.se). Apply on the employer's site (jobbsafari.se).
Imported listing (source: jobbsafari.se) · Apply on jobbsafari.se
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Imported job description
Sourced from jobbsafari.se
Ants is partnering with a well-funded early-stage startup in Stockholm to find a Lead AI Engineer. The role involves designing end-to-end ML architectures, building personalization and relevance systems, and establishing ML engineering standards. You will work on large-scale data pipelines, real-time serving, and experimentation platforms.
Responsibilities
Design end-to-end machine learning architectures including data pipelines, feature engineering, model training, real-time serving, and evaluation systems.
Build scalable personalization and relevance systems processing high-volume sequential behavioral data in real time.
Develop high-velocity model training pipelines enabling rapid experimentation with production-grade rigor.
Design and operate low-latency model serving infrastructure with seamless version rollouts.
Create experimentation and evaluation platforms combining offline metrics and online A/B testing.
Establish ML engineering standards for code quality, reproducibility, monitoring, and incident response.
Requirements
MSc in Machine Learning, Computer Science, Statistics, or directly related field from KTH, Chalmers, ETH Zurich, EPFL, or equivalent.
Ants Tech Recruiters is a specialized IT recruitment and HR tech company that helps organizations attract, evaluate, and retain tech talent. They offer specialized recruitment services, executive search, and AI-enabled talent acquisition models.
3+ years industry experience designing and shipping production ML systems at scale.
Demonstrated experience in early-stage, fast-moving technology companies.
Deep expertise in at least two of: large-scale personalization, recommendation systems, sequential behavioral modeling, real-time ML serving, or privacy-preserving ML.
Production software engineering discipline beyond model code.
Nice to Have
PhD in Machine Learning, Computer Science, or directly related field.
Prior experience as technical lead, staff engineer, or principal engineer at high-growth company.
Background from companies like Spotify, Klarna, Google, Meta, OpenAI, DeepMind.
Research publications or substantive technical work in relevant areas.
Track record of delivering complete production ML systems at a fast pace.
Tech Stack
PythonMachine Learning
RS
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