Senior Machine Learning Engineer (Infra and Backend Focus)

Nextory AB / Elektronikjobb / Stockholm
2025-06-24


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We know it, you know it. Most companies ramble on about purpose and making the world a better place. And pretty often it feels a bit... well, forced. But we'd like to think that our story is special for real.
Our founders, Shadi Bitar and Ninos Malki, came to Sweden from Syria when they were kids. Books became their compass, guiding them through the maze of life, and helping them shape their destinies in a new world.
Their dream was bold: What if they could unlock the world of books for everyone, making knowledge and inspiration accessible to all? Fast forward a few years, and the tale of Nextory was born.
At Nextory, we've crafted a revolutionary monthly subscription that empowers our users to devour books like never before, be it through reading or listening. It's not just a product; it's a passport to endless adventure and enlightenment.
WHY THIS ROLE MATTERS
We're scaling our AI capabilities to help millions of users find their next favorite book. To do that, we need someone to help build the infrastructure behind:
Personalized recommendations
AI librarian, our multi-agentic book recommender with chat interface
Semantic search with LLMs and vector retrieval
This isn't just about training models - it's about designing systems that deliver them reliably, efficiently and at scale.
WHAT YOU WILL DO
Ship ML-powered features to production with real user impact
Diagnose and triage issues: analyze logs, core dumps, and diagnostic data to identify root causes and drive timely resolutions.
Build and scale ML infrastructure on Google Cloud Platform (Vertex AI, BigQuery, GCS)
Develop production-quality Python services to serve models across chat, search, and recommendation systems
Strong experience with Google Cloud's Python SDKs, with a preference for deep familiarity with Vertex AI service
Implement MLOps practices including model versioning, drift detection, and evaluation tooling
Drive CI/CD, observability, and automation for ML workflows
Ensure model serving is low-latency, scalable, and cost-efficient
OUR STACK
Languages: Python, SQL
Cloud & MLOps: GCP (Vertex AI, BigQuery), Vertex AI Pipelines
Search & Retrieval: Vertex AI Search
Infra & Observability: Docker, Kubernetes, Terraform, GCP Monitoring
SKILLS AND QUALIFICATIONS
5+ years in ML or backend engineering, with 3+ in production-grade ML infra
Proficient in Python, with experience deploying cloud-native ML systems (preferably GCP + Vertex AI)
Deep experience with end-to-end ML pipelines (training, serving, evaluation) and model serving via REST APIs
Strong command of Kubernetes, CI/CD, and infrastructure as code
Able to mentor engineers, perform code reviews, and drive architectural decisions
Comfortable with SQL and working with large datasets
Experience managing large-scale pipelines with solid observability practices
Strong problem-solving and communication skills; thrives in iterative, fast-paced environments
You're collaborative, pragmatic, and care about impact more than ego
BONUS IF YOU HAVE
Experience with Recommendation systems , LLM-based features, or vector search
Hands-on experience with natural language processing (NLU and NLG)
Hands-on experience with (multi-)agent systems
Familiarity with Vertex AI Search and RAG pipelines
A passion for metadata tracking, model governance, or responsible ML
WORK ENVIRONMENT AND IMPORTANT DETAILS
At Nextory, we believe a strong and inclusive culture is key to our success - and that culture flourishes when we meet and collaborate in person as much as possible. That's why we spend the majority of the working time at our beautiful office!
We are based in Stockholm, Sweden, with offices in Paris and Bangalore. Our hybrid work policy includes four days in the office and Wednesdays as a work-from-home day.
Please note that we do not offer relocation and that a six-month probationary period applies.
If you're excited to shape the future of how people connect with stories, COME JOIN US. Help us bring powerful machine learning to the joy of reading - at scale.

Så ansöker du
Sista dag att ansöka är 2025-08-30
Klicka på denna länk för att göra din ansökan

Omfattning
Detta är ett heltidsjobb.

Arbetsgivare
Nextory AB (org.nr 556708-4149)
Norrtullsgatan 6 (visa karta)
113 29  STOCKHOLM

Arbetsplats
Nextory

Jobbnummer
9400998

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