UN

Univation Media & Communication Pvt Ltd

Writer

Eckdaten

Berlin

Arbeitsmodell

Hybrid
vor 3 Tagen
Stellenbeschreibung

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]