Lead AI Engineer (Remote)
Working Arrangement: Munich, Germany (Remote - work from anywhere in Germany)
Shape AI That Powers the Future of Financial Access Across Southeast Asia
At BJAK, we’re using AI to solve meaningful problems — from fraud detection and risk modeling to hyper-personalized financial experiences that make insurance and financial services more accessible. We’re looking for a Lead AI Engineer based in Germany to play a pivotal role in building, scaling, and leading the next generation of intelligent systems.
This role blends deep technical expertise with hands-on leadership, reporting directly to our Head of AI. You’ll write production code, shape strategy, mentor team members, and help grow a lean, world-class AI engineering team.
Why This Role Matters
• You’ll design and deploy core AI systems that serve millions across the region
• You’ll be the right hand to the Head of AI — driving technical execution and engineering standards
• You’ll lead and mentor junior engineers to elevate team performance and capabilities
• You’ll play a critical role in hiring and scaling a high-performance AI team
What You’ll Do
• Design, build, and ship production-grade ML models for high-impact use cases
• Lead model architecture, data pipeline design, and deployment strategies
• Collaborate across product, engineering, and data teams to drive AI initiatives
• Own the end-to-end ML lifecycle — from data prep to deployment and monitoring
• Review code, guide projects, and mentor engineers through technical challenges
• Champion experimentation, continuous learning, and AI best practices
• Interview and evaluate candidates, contributing to technical hiring and team building
• Stay ahead of ML advancements — and bring cutting-edge solutions into production
You’ll Thrive Here If You...
• Lead from the front — you’re hands-on in code, but always lifting others
• Think like an owner — you don’t wait for permission to solve a problem
• Operate at speed and depth — you make fast, sound decisions that balance trade-offs
• Push for clarity — even in chaos, you bring structure, direction, and accountability
• Care about what ships — you focus on solving real-world problems, not just academic ones
• Grow the team, not just the tech — you enjoy mentoring, coaching, and seeing others win
• Adapt fast — priorities shift, ambiguity is the norm, and you navigate both with confidence
• Have a builder’s mindset — fast prototypes, strong opinions, and a hunger to iterate
• Keep learning — you’re constantly leveling up your technical, product, and leadership game
Requirements
• Bachelor's or Master’s degree in Computer Science, Engineering, or a related field
• 4–6 years of experience in AI/ML engineering with real-world deployment experience
• Strong Python skills and deep familiarity with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
• Solid understanding of the end-to-end ML lifecycle: data pipelines, training, validation, monitoring
• Experience working on applied AI problems (e.g., recommendation, fraud, risk, NLP, etc.)
• Track record of technical leadership and mentoring engineers
• Excellent communication and collaboration skills
• Must be based in Germany and open to working remotely with regional teams
Nice to Have
• Experience with MLOps tooling (e.g., MLflow, Airflow, Docker, GCP/AWS)
• Familiarity with responsible AI practices (fairness, interpretability,
Shape AI That Powers the Future of Financial Access Across Southeast Asia
At BJAK, we’re using AI to solve meaningful problems — from fraud detection and risk modeling to hyper-personalized financial experiences that make insurance and financial services more accessible. We’re looking for a Lead AI Engineer based in Germany to play a pivotal role in building, scaling, and leading the next generation of intelligent systems.
This role blends deep technical expertise with hands-on leadership, reporting directly to our Head of AI. You’ll write production code, shape strategy, mentor team members, and help grow a lean, world-class AI engineering team.
Why This Role Matters
• You’ll design and deploy core AI systems that serve millions across the region
• You’ll be the right hand to the Head of AI — driving technical execution and engineering standards
• You’ll lead and mentor junior engineers to elevate team performance and capabilities
• You’ll play a critical role in hiring and scaling a high-performance AI team
What You’ll Do
• Design, build, and ship production-grade ML models for high-impact use cases
• Lead model architecture, data pipeline design, and deployment strategies
• Collaborate across product, engineering, and data teams to drive AI initiatives
• Own the end-to-end ML lifecycle — from data prep to deployment and monitoring
• Review code, guide projects, and mentor engineers through technical challenges
• Champion experimentation, continuous learning, and AI best practices
• Interview and evaluate candidates, contributing to technical hiring and team building
• Stay ahead of ML advancements — and bring cutting-edge solutions into production
You’ll Thrive Here If You...
• Lead from the front — you’re hands-on in code, but always lifting others
• Think like an owner — you don’t wait for permission to solve a problem
• Operate at speed and depth — you make fast, sound decisions that balance trade-offs
• Push for clarity — even in chaos, you bring structure, direction, and accountability
• Care about what ships — you focus on solving real-world problems, not just academic ones
• Grow the team, not just the tech — you enjoy mentoring, coaching, and seeing others win
• Adapt fast — priorities shift, ambiguity is the norm, and you navigate both with confidence
• Have a builder’s mindset — fast prototypes, strong opinions, and a hunger to iterate
• Keep learning — you’re constantly leveling up your technical, product, and leadership game
Requirements
• Bachelor's or Master’s degree in Computer Science, Engineering, or a related field
• 4–6 years of experience in AI/ML engineering with real-world deployment experience
• Strong Python skills and deep familiarity with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
• Solid understanding of the end-to-end ML lifecycle: data pipelines, training, validation, monitoring
• Experience working on applied AI problems (e.g., recommendation, fraud, risk, NLP, etc.)
• Track record of technical leadership and mentoring engineers
• Excellent communication and collaboration skills
• Must be based in Germany and open to working remotely with regional teams
Nice to Have
• Experience with MLOps tooling (e.g., MLflow, Airflow, Docker, GCP/AWS)
• Familiarity with responsible AI practices (fairness, interpretability,