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Nexora Solutions

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Berlin, Germany
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Job posted on May 3, 2026
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Job Description:
We’re Hiring: Machine Learning Engineer (Germany)We’re looking for a talented and impact-driven Machine Learning Engineer to join our team in Germany and build scalable, production-ready AI systems. If you’re passionate about deploying real-world machine learning solutions and working with cutting-edge technologies, this role is for you.Location: Germany (Remote / Hybrid / On-site) Employment Type: Full-time What You’ll Do:
  • Design, build, and deploy machine learning models in production
  • Develop end-to-end ML pipelines (data ingestion → training → deployment → monitoring)
  • Collaborate with data scientists, software engineers, and product teams
  • Optimize model performance, scalability, and reliability
  • Work with large-scale structured and unstructured datasets
  • Implement MLOps best practices and automate workflows

What We’re Looking For:
  • Bachelor’s or Master’s degree in Computer Science, AI, or related field
  • 3–6+ years of experience in machine learning or AI engineering
  • Strong programming skills in Python
  • Hands-on experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn)
  • Solid understanding of machine learning algorithms, statistics, and data structures
  • Experience deploying models via APIs or microservices
  • Familiarity with cloud platforms (AWS, GCP, Azure)
  • Experience with Docker, Kubernetes, and CI/CD pipelines
  • Fluent in English; German is a plus

Nice to Have:
  • Experience with Deep Learning, NLP, or Computer Vision
  • Hands-on experience with LLMs / Generative AI (Transformers, GPT-style models)
  • Experience with big data tools (Spark, Kafka)
  • Familiarity with ML tools (MLflow, Kubeflow)

What We Offer:
  • Competitive salary (€75,000 – €120,000 depending on experience)
  • Flexible working arrangements (remote/hybrid)
  • Work on cutting-edge AI / LLM / data-driven products
  • International and collaborative team
  • Continuous learning and career growth opportunities
  • Visa sponsorship / relocation support (if applicable)

Apply Now: Send your CV to: [your email]
  • Or apply via: [application link]

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