Machine Learning Engineer

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AI Summary

We're hiring a Machine Learning Engineer to design, build, and deploy scalable AI systems. The ideal candidate will have 3-6+ years of experience in machine learning or AI engineering and strong programming skills in Python. The role involves collaborating with data scientists, software engineers, and product teams to optimize model performance, scalability, and reliability.

Key Highlights
Design, build, and deploy machine learning models in production
Collaborate with data scientists, software engineers, and product teams
Optimize model performance, scalability, and reliability
Key Responsibilities
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
Technical Skills Required
Python TensorFlow PyTorch Scikit-learn AWS GCP Azure Docker Kubernetes CI/CD pipelines
Benefits & Perks
Competitive salary (€75,000 – €120,000 depending on experience)
Flexible working arrangements (remote/hybrid)
Work on cutting-edge AI / LLM / data-driven products
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)

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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