Machine Learning Engineer Engineering
Verfasst am 2026-06-04
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Software Entwicklung
Künstliche Intelligenz Ingenieur, Maschinelles Lernen, Datenwissenschaftler
Performance-based bonuses and equity for shipped models.
Design, train, and optimize AI models powering Atmantara's financial intelligence platform.
About
Atmantara builds foundational AI infrastructure for financial institutions. From real-time fraud detection to multi-model portfolio optimization, we empower financial teams with scalable, secure, and compliant AI capabilities, without the engineering overhead. Our platform supports cloud-native and hybrid deployments with built-in observability, role-based access, and regulatory-grade compliance (SOC 2, GDPR, PSD2, MiFID II).
We're a high-velocity team based in Berlin and remote, working at the intersection of AI, infrastructure, and fintech.
Role
You'll own model development pipelines, from data processing to deployment, across fraud detection, portfolio scoring, and optimization.
You'll work in tandem with infra and product to continuously improve real-world model outcomes.
Responsibilities
- Design and train ML models with structured financial datasets
- Integrate and deploy models using Atmantara's hybrid inference platform
- Conduct model testing, ablation, and explainability workflows
- Collaborate with infra to meet latency and compliance SLAs
- Evaluate model drift and lead retraining strategies
- Strong Python skills and familiarity with ML libraries (e.g., scikit-learn, PyTorch, XGBoost)
- Experience with end-to-end ML pipelines in production
- Understanding of model fairness, explainability, and compliance
- Experience with versioning tools and model packaging
- Deployed models in financial services, fintech, or regulated sectors
- Built models for fraud detection, credit scoring, or optimization
- Experience with MLflow, Weights & Biases, or similar tools
- Competitive salary and early-stage equity
- Flexible remote-first setup with a central hub in Berlin
- Annual learning & development stipend
- Parental leave and dedicated wellness budget
- Covered public transportation or mobility allowance
- Company laptop and full remote workstation setup
- Friday after-work dinners and drinks
- Annual team offsites and international retreats
- Regular guest talks from AI and fintech industry leaders
- Dedicated focus days, no internal meetings, deep work encouraged
We believe AI infrastructure should accelerate financial intelligence. Atmantara empowers lean, focused teams to work with autonomy and deep collaboration. We measure success in real outcomes: helping financial institutions deploy smarter models faster, without bottlenecks or complexity.
If you're excited to help build the platform powering the next generation of AI in finance, we'd love to talk.
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