Senior Machine Learning Engineer

14 godzin temu


Wrocław, Polska DCG Pełny etat

At DCG, we understand the significance of skilled professionals in driving business success.

As a company driven by innovation and growth, we're currently seeking a Senior Machine Learning Engineer to join our team.

Job Overview

We're looking for an experienced engineer with a strong background in developing and deploying machine learning systems into production. This role will focus on implementing end-to-end solutions for batch and real-time algorithms, as well as collaborating with data scientists and analysts to create and deploy new product features.

Key Responsibilities

  • Implement scalable, efficient automated processes for data analyses, model development, validation, and implementation
  • Work closely with data scientists and analysts to develop and deploy predictive models in a production environment
  • Collaborate with cross-functional teams to integrate machine learning models into larger-scale applications
  • Develop and maintain cloud-native software for ML pipelines
  • Contribute to and promote good software engineering practices across the team

Requirements

  • University or advanced degree in engineering, computer science, mathematics, or a related field
  • 7+ years experience developing and deploying machine learning systems into production
  • Experience working with relational SQL and NoSQL databases
  • Experience with big data tools: Hadoop, Spark, Kafka, etc.
  • 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, etc.
  • 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
  • English level: B2, C1
  • Relevant working experience with Docker and Kubernetes is a plus

Benefits

  • Private medical care
  • Co-financing for the sport card
  • Training & learning opportunities
  • Constant support of dedicated consultant
  • Team-building events organized by DCG
  • Employee referral program

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