Machine Learning Engineer | €300 Per Day | Fully Remote Long Term B2B Contract
About the Role:
We’re looking for a talented and proactive Machine Learning Engineer to join our growing data science and engineering team. This is a fantastic opportunity for someone passionate about applied machine learning, MLOps, and cutting-edge model deployment practices. You'll work on impactful projects that leverage deep learning and AI to drive business transformation.
Key Responsibilities:
- Design, develop, and deploy machine learning and deep learning models.
- Build and maintain scalable ML pipelines, including CI/CD workflows.
- Monitor model performance in production and implement retraining strategies.
- Collaborate with cross-functional teams including data engineering and product.
- Solve complex problems using a hands-on, analytical approach.
Required Skills & Experience:
- Proven experience developing and deploying ML and deep learning models.
- Strong Python programming skills; familiarity with SQL and PySpark is a plus.
- Hands-on experience with MLOps practices, model deployment, and monitoring tools.
- Proficient with libraries such as PyTorch (or Keras), Scikit-learn, and Pandas.
- Excellent analytical and problem-solving skills.
- Strong communicator, capable of working both independently and collaboratively.
- Fluent in English (spoken and written).
Preferred Qualifications:
- Knowledge of Large Language Models (LLMs), efficient ML (quantization, distillation), transfer learning, and fine-tuning.
- Experience with Microsoft Azure, particularly Azure Datalake, Datahouse, and Azure Databricks.
- Familiarity with RESTful APIs.
- Experience working with Docker and Kubernetes environments.
Please apply as interview stages are commencing immediately
