Machine Learning Engineer

6 dni temu

Warszawa, Mazovia, Polska Elitmind Pełny etat 60 000 zł - 120 000 zł rocznie

We are looking for a passionate Machine Learning Engineer to join our team and help build scalable, production-ready ML solutions. You will work on cutting-edge projects involving predictive modeling, MLOps, and cloud-based deployments, leveraging platforms like Azure Databricks. This is an opportunity to shape the future of AI-driven solutions in a dynamic and collaborative environment.

What makes you a great fit?

Key technologies

Python | Databricks | MLOps | MLflow | Azure Services

  • Proficiency in Python 3+ years (for data science and machine learning development).
  • Hands-on experience with Azure services and Databricks platform.
  • Strong knowledge of machine learning algorithms and modeling techniques.
  • Familiarity with MLOps practices, including MLflow for experiment tracking and model management.

Nice To Have

  • Experience with Spark/PySpark and understanding of distributed data processing.
  • Exposure to large language models (LLMs) and their practical applications.
  • Knowledge of Docker and Kubernetes for containerization and orchestration.

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, develop, and deploy machine learning models for regression, classification, clustering, and time series forecasting.
  • Manage and utilize Azure Databricks Feature Store, MLflow and Asset Bundles for efficient model lifecycle management.
  • Collaborate with data scientists and engineers to optimize model performance and scalability.
  • Ensure robust deployment strategies for ML models on Azure cloud environments.
  • Stay abreast of the latest advancements in Databricks and Azure technologies.
  • Exceptional problem-solving and critical thinking abilities.

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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