Senior AI/ML Software Engineer

Bjak
Zürich, Switzerland
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Shift work
Languages
English
Experience level
Senior

Job location

Remote
Zürich, Switzerland

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Computer Vision
Azure
Data Cleansing
Software Debugging
Fraud Prevention and Detection
Python
Machine Learning
Recommender Systems
TensorFlow
Software Engineering
Feature Engineering
PyTorch
Jupyter
Backend
GIT
Scikit Learn
Information Technology
Api Design
Docker

Job description

At BJAK, we use AI to make insurance and financial services easier to access, understand, and afford for millions of users. As a Senior AI/ML Software Engineer, you'll help build the intelligent systems that power this mission - from personalized recommendations and fraud detection to automation and search.

This is a fully remote role, working closely with cross-functional teams across regions. You'll join a fast-paced, flat engineering environment where your execution and ideas shape real-world outcomes every day.

  • Your work will directly improve user experience, efficiency, and platform intelligence

  • You'll contribute to production-grade AI systems that support millions of users

  • You'll collaborate across product, data, and engineering to build scalable ML tools end-to-end

  • You'll grow quickly in a lean, high-impact environment

  • Work with product, data, and engineering teams to define ML goals and technical strategies

  • Design, build, and deploy machine learning models for personalization, automation, and insights

  • Manage the full ML lifecycle: data preprocessing, feature engineering, training, tuning, evaluation, deployment

  • Build scalable ML infrastructure and deployment pipelines

  • Integrate ML outputs into user-facing products and backend systems

  • Stay up-to-date with AI/ML research trends and apply relevant innovations

  • Contribute to debugging, testing, and optimization of production ML systems

  • Take full ownership and ensure the models you build drive real-world results

  • Are a self-starter who can figure things out even with ambiguity

  • Move with urgency - ship fast, iterate faster

  • Own problems end-to-end, from messy data to deployment

  • Bring a humble, collaborative, team-first attitude

  • Stay calm in fast-changing, high-growth environments

  • Learn obsessively and share openly

Requirements

  • Bachelor's degree in Computer Science, Data Science, Engineering, or any related technical field

  • Strong proficiency in Python

  • 2-4 years of experience in machine learning or backend software development

  • Hands-on experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn)

  • Solid understanding of ML workflows: data cleaning, model development, tuning, evaluation

  • Familiarity with model deployment, API development, or real-world ML product integration

  • Experience with Jupyter, Colab, or cloud-based ML platforms

  • Strong analytical, problem-solving, and communication skills

  • Comfortable working remotely and collaborating across time zones

  • Experience with NLP, computer vision, or recommendation systems

  • Familiarity with AWS, GCP, or Azure

  • Exposure to Docker, Git, or CI/CD pipelines

  • Background in high-growth startups or agile product teams

Benefits & conditions

  • Competitive salary and performance-based bonuses
  • Flexible, fully remote work arrangement
  • Direct impact - your work reaches millions of users
  • Flat, transparent team environment
  • Opportunities for rapid personal and technical growth
  • Cross-regional collaboration and exposure

About the company

BJAK is a leading digital insurance platform, helping millions of users access affordable and transparent financial protection. We simplify financial services through AI, automation, and smart APIs, and we're building the next generation of intelligent systems to make finance better, faster, and fairer for everyone. If you're excited about building ML systems that solve real-world problems at scale - and thrive in a high-impact, mission-driven team - we'd love to hear from you.

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