Senior AI/ML Software Engineer

Bjak; München; Remote; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

A leading digital insurance platform is seeking a Senior AI/ML Software Engineer to build intelligent systems that improve financial services. This fully remote role involves collaborating across teams to design and deploy machine learning models for various applications. Candidates should have a Bachelor's degree in a technical field along with strong Python proficiency and experience with ML frameworks. The position offers competitive salary, remote work flexibility, and opportunities for personal and technical growth.

Leistungen

Competitive salary

Performance-based bonuses

Flexible remote work

Opportunities for rapid growth

Qualifikationen

• 2–4 years of experience in machine learning or backend software development.
• Hands-on experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Familiarity with model deployment, API development, or real-world ML product integration.

Aufgaben

• Work with product, data, and engineering teams to define ML goals.
• Design, build, and deploy machine learning models.
• Manage the full ML lifecycle, from data preprocessing to deployment.

Kenntnisse

Python

Machine Learning

Analytical skills

Problem-solving skills

Communication skills

Ausbildung

Bachelor’s degree in Computer Science, Data Science, Engineering

Tools

TensorFlow

PyTorch

Scikit-learn

Jupyter

Cloud ML platforms

Jobbeschreibung

Build AI Systems That Make Finance Simpler, Smarter, and More Inclusive

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.

Why This Role Matters

• 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

What You’ll Do

• 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

You’ll Thrive Here If You...

• 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

Nice to Have

• 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

What You’ll Get

• 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 BJAK

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.