Elitmind
Machine Learning Engineer
ElitmindPoland13 days ago
Full-timeEngineering, Information Technology
We are a dynamic team focused on building scalable and secure machine learning solutions in cloud environments. Our projects involve designing and deploying end-to-end MLOps pipelines, containerized workloads, and automated CI/CD processes using Azure services. We leverage cutting-edge technologies such as Azure ML, Kubernetes, Docker, MLflow, and Terraform to deliver robust, production-ready AI solutions.

What makes you a great fit?

Key technologies

Azure Machine Learning | Azure Kubernetes Service (AKS) | Azure DevOps | Docker | Kubernetes | MLflow | Terraform | Python | CI/CD | IaC

  • Proficiency in Python 3+ years of experience in developing ML pipelines and integrating with frameworks (PyTorch, TensorFlow).
  • Hands-on experience with Azure services including Azure ML, AKS, and Azure DevOps for end-to-end MLOps workflows.
  • Strong knowledge of containerization and orchestration using Docker and Kubernetes for scalable, fault-tolerant deployments.
  • Familiarity with MLOps practices including MLflow for experiment tracking, model registry, and artifact management.
  • Experience with Infrastructure as Code (IaC) using Terraform, Bicep, or ARM templates for automated and secure cloud environments.

Nice to have

  • Experience with Kubeflow or Vertex AI for advanced ML orchestration.
  • Background in Python-based ML frameworks (PyTorch, Scikit-learn, TensorFlow).
  • Knowledge of data privacy, compliance, and responsible AI principles.

Soft skills

  • Analytical Thinking Ability to interpret data, identify trends, and provide actionable insights to drive business decisions.
  • Problem-Solving Skills Proactively identify and resolve issues related to BI systems, ensuring smooth operations and data accuracy.
  • Effective Communication Ability to explain technical concepts to non-technical stakeholders clearly and concisely, fostering understanding and collaboration.
  • Attention to Detail Meticulous in data validation, report generation, and ensuring data quality across BI platforms.
  • Team Collaboration Strong interpersonal skills to work effectively in cross-functional teams, coordinating with IT, business analysts, and other stakeholders.
  • Adaptability and Continuous Learning Open to learning new tools and technologies in the rapidly evolving BI landscape and adjusting to changing business needs.

What will you do?

  • Design and implement end-to-end MLOps pipelines in Azure using services like Azure ML, AKS, ACR, and Azure Data Lake.
  • Containerize and orchestrate machine learning workloads using Docker and Kubernetes for scalable, fault-tolerant deployment.
  • Automate training, validation, and deployment of models through CI/CD pipelines integrated with Git and workflow orchestration tools (Airflow, MLflow, Kubeflow).
  • Manage model versioning, lineage, and registry using Azure ML Model Registry or equivalent.
  • Implement monitoring and alerting for model drift, data quality, and inference performance.
  • Ensure infrastructure as code (IaC) using tools like Terraform, Bicep, or ARM templates.
  • Apply security and compliance best practices across model storage, API endpoints, and data access.

Our benefits

Your Journey With Us Starts Here

  • Initial Screening: If you meet our requirements, our recruiter will reach out to you for a chat about your motivations and expectations. Get ready to share your passion!
  • Technical Interview: Next, you'll be invited to showcase your skills in an interview with one of our technical experts or team members. This is your chance to shine and demonstrate your expertise.
  • Final Interview: Finally, you'll have the opportunity to meet your future Team Lead. This is the perfect moment to learn more about the role, the team, and to ask any questions you might have.

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