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Machine Learning Engineer

Machine Learning Engineer

RecannMadrid, Comunidad de Madrid, España
Hace 16 días
Descripción del trabajo

Machine Learning Engineer

Location : Barcelona, Hybrid Working (2 days onsite, 3 days remote)

Start Date : ASAP

End Date : December 2025

Contract type : B2B freelancing

About the Role :

Our client is seeking a highly skilled and experienced Machine Learning Engineer to join a project in Barcelona. This is a hybrid role with the flexibility of working two days onsite and three days remotely.

Key Responsibilities :

  • Develop and deploy machine learning systems into production.
  • Work with a variety of relational SQL and NoSQL databases.
  • Utilize big data tools such as Hadoop, Spark, and Kafka.
  • Develop serverless code with at least one cloud provider solution (AWS, GCP, Azure).
  • Program in object-oriented / object function scripting languages like Python, Java, C++, Scala.
  • Develop predictive models in a production environment and integrate them into larger applications (MLOps).
  • Use Machine and Deep Learning libraries such as Scikit-learn, XGBoost, MXNet, TensorFlow, or PyTorch.
  • Leverage GenAI and multimodal AI knowledge via HuggingFace, Llama, VertexAI, AWS Bedrock, or GPT.
  • Manage data pipelines and workflows with relevant tools.
  • Follow standard software engineering methodologies, including unit testing, test automation, continuous integration, code reviews, and design documentation.
  • Work with native ML orchestration systems such as Kubeflow, Step Functions, MLflow, Airflow, TFX.
  • Experience with Docker and Kubernetes is a big plus.

Qualifications :

  • University or advanced degree in engineering, computer science, mathematics, or a related field.
  • 7+ years of experience developing and deploying machine learning systems into production.
  • Experience with a variety of relational SQL and NoSQL databases.
  • Experience with big data tools : Hadoop, Spark, Kafka.
  • Experience with at least one cloud provider solution (AWS, GCP, Azure) and understanding of serverless code development.
  • Experience with object-oriented / object function scripting languages : Python, Java, C++, Scala.
  • Previous experience developing predictive models in a production environment, MLOps, and model integration into larger-scale applications.
  • Experience with Machine and Deep Learning libraries such as Scikit-learn, XGBoost, MXNet, TensorFlow, or PyTorch.
  • Exposure to GenAI and solid understanding of multimodal AI via HuggingFace, Llama, VertexAI, AWS Bedrock, or GPT.
  • Knowledge of data pipeline and workflow management tools.
  • Expertise in standard software engineering methodology, e.g., unit testing, test automation, continuous integration, code reviews, design documentation.
  • Working experience with native ML orchestration systems such as Kubeflow, Step Functions, MLflow, Airflow, TFX.
  • Relevant working experience with Docker and Kubernetes is a big plus.

    • If you are passionate about machine learning and meet the qualifications, we would love to hear from you. Apply now or email me to discuss further.

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