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Machine Learning Engineer - Job Opportunity at Bjak

Munich, Germany
Full-time
Senior
Posted: June 3, 2025
On-site
EUR 75,000 - 95,000 annually based on Munich market rates for senior ML engineers with leadership experience. The role's focus on end-to-end AI lifecycle management and stakeholder collaboration suggests positioning in the upper range, potentially reaching EUR 100,000+ with performance incentives.

Benefits

Fast-paced environment with unique business challenges that accelerate professional development and problem-solving capabilities
Performance-based incentives structure that rewards exceptional contributions and aligns compensation with achievement
Comprehensive learning and development programs designed to advance technical expertise and career trajectory
Significant career advancement opportunities within a rapidly expanding technology company
International work environment providing global perspective and cross-cultural collaboration experience
Flat organizational structure enabling direct impact, ownership, and accelerated leadership development

Key Responsibilities

Drive strategic AI product development by collaborating with senior stakeholders to define project objectives, requirements, and delivery timelines that align with business goals
Lead end-to-end AI solution architecture and implementation, designing sophisticated models and algorithms that solve complex business challenges and drive competitive advantage
Manage complete AI model lifecycle from conception to production, including data pipeline optimization, advanced preprocessing, model training, performance evaluation, and scalable deployment
Maintain technical leadership position by researching and integrating cutting-edge AI techniques and industry best practices into product development
Enable data-driven strategic decision-making through advanced analytics, predictive modeling, and comprehensive data visualization solutions
Ensure enterprise-grade AI solutions meet security, scalability, and performance standards for global deployment
Conduct advanced research initiatives to explore innovative AI techniques and maintain competitive technological edge

Requirements

Education

Bachelor's, Master's, or Ph.D. in Computer Science, Artificial Intelligence, or a related field

Experience

Proven experience as an AI engineer or data scientist, with a track record of leading successful AI projects

Required Skills

Proficiency in AI and machine learning frameworks and programming languages (e.g., Python) Strong expertise in data preprocessing, feature engineering, and model evaluation Excellent problem-solving and critical-thinking skills Effective leadership, communication, and team management abilities A passion for staying at the forefront of AI and machine learning advancements
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Sauge AI Market Intelligence

Industry Trends

The AI automation market is experiencing unprecedented growth with companies increasingly investing in intelligent task automation solutions to enhance operational efficiency and reduce manual processes. This trend is particularly strong in Europe where regulatory frameworks are driving structured AI adoption across industries. Insurance technology (InsurTech) sector is undergoing digital transformation with AI-powered solutions becoming critical for competitive advantage, particularly in areas of risk assessment, claims processing, and customer experience optimization. There is a significant talent shortage in AI/ML engineering roles across European markets, with companies competing intensively for experienced professionals who can deliver production-ready AI solutions. Global expansion of AI products is accelerating, with companies leveraging regional expertise to serve international markets, creating opportunities for engineers to work on globally scalable solutions.

Role Significance

Likely working within a 8-15 person engineering team, with direct collaboration with 2-3 product managers and potential mentorship responsibilities for 1-2 junior engineers. The flat organizational structure suggests broader cross-functional interaction with leadership and business stakeholders.
This is a senior individual contributor role with significant technical leadership responsibilities. The position requires autonomous decision-making, strategic thinking, and the ability to drive technical direction while collaborating with executive stakeholders on business-critical AI initiatives.

Key Projects

Development of global AI automation platform for task simplification and productivity enhancement Implementation of machine learning models for insurance risk assessment and pricing optimization Creation of scalable data pipelines and model deployment infrastructure for international markets Research and integration of cutting-edge AI techniques for competitive differentiation

Success Factors

Ability to translate complex business requirements into technical AI solutions that deliver measurable impact on user productivity and business outcomes Strong project management and stakeholder communication skills to navigate the flat organizational structure and drive initiatives across multiple teams Technical excellence in end-to-end ML lifecycle management, from data engineering through production deployment and monitoring Proactive learning mindset to stay current with rapidly evolving AI technologies and integrate innovative approaches into practical business applications Leadership capabilities to influence technical direction and mentor team members while contributing individually to high-impact projects

Market Demand

Very High - The combination of AI expertise, production deployment experience, and leadership capabilities represents one of the most sought-after skill sets in the current technology market, particularly in Munich's thriving tech ecosystem.

Important Skills

Critical Skills

Python proficiency and ML framework expertise are fundamental as they form the core technical foundation for all development work. The role requires hands-on implementation of complex AI systems, making these skills essential for daily productivity and technical credibility. End-to-end ML lifecycle management skills are critical because the role owns complete solution delivery from data processing through production deployment. This comprehensive capability is rare in the market and directly impacts business outcomes. Leadership and communication abilities are essential given the flat organizational structure and stakeholder collaboration requirements. Technical excellence must be coupled with ability to influence and drive initiatives across the organization.

Beneficial Skills

Cloud platform expertise (AWS, GCP, Azure) for scalable AI deployment and international market reach MLOps and production monitoring tools knowledge for maintaining enterprise-grade AI solutions Insurance domain knowledge to leverage company's core expertise and accelerate project delivery Research skills and academic background for staying current with AI advancements and contributing to innovation initiatives International business experience for contributing to global expansion strategy and cross-cultural team collaboration

Unique Aspects

Opportunity to work on global AI automation platform that aims to democratize AI benefits across international markets, providing significant scale and impact potential
Combination of established company stability with startup-like growth opportunities, benefiting from proven business model while participating in new market expansion
Direct exposure to both insurance technology domain expertise and cutting-edge AI automation, creating unique cross-industry experience
International work environment with opportunities to influence technical direction in a flat organizational structure
Focus on meaningful AI applications that enhance human productivity rather than purely theoretical or research-oriented work

Career Growth

2-4 years to senior technical leadership roles, 4-6 years to management positions, depending on individual performance and company growth trajectory. The flat organizational structure and rapid growth environment may accelerate advancement opportunities.

Potential Next Roles

Senior Machine Learning Engineer or Principal ML Engineer roles at larger technology companies or consulting firms AI/ML Team Lead or Engineering Manager positions leading larger technical teams Head of AI or Chief Technology Officer roles at growing startups or established companies Technical Consultant or Solutions Architect roles at major cloud providers or AI platform companies

Company Overview

Bjak

BJAK is an established Malaysian technology company that has successfully built Southeast Asia's largest insurance aggregator and is now expanding globally with AI automation solutions. The company demonstrates proven ability to scale technology products across international markets and has deep domain expertise in both insurance technology and browser automation.

Strong regional presence in Southeast Asian InsurTech market with established track record of building scalable technology platforms. The company is positioned as an innovative player expanding into global AI automation markets, leveraging existing technical capabilities and domain expertise.
The Munich office represents a strategic European expansion, likely serving as a hub for European market entry and talent acquisition. This positioning provides opportunities to work on global products while being part of the company's international growth strategy.
Goal-driven, performance-oriented environment with emphasis on ownership and initiative. The flat organizational structure promotes direct impact and rapid career advancement based on results rather than tenure, appealing to professionals who thrive in autonomous, high-accountability environments.
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