Informacje o stanowisku

What We Offer:

• Innovative Environment: Work in a company that values creativity and solving complex challenges.
• Professional Growth: Opportunities for continuous learning and career advancement.
• Competitive Compensation: Attractive salary and benefits package.
• Flexible Work Options: Support for a healthy work-life balance, including remote opportunities.

If you’re a talented and experienced Machine Learning Engineer eager to lead impactful projects and innovate in a dynamic environment, apply now to join our team! 

Requirements:

• 5+ years of experience in machine learning and data science.
• Proven track record of leading and managing technical teams.
• Expertise in statistical analysis, data mining, and predictive modeling.
• Proficiency with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Strong programming skills in Python, C++, or similar languages.
• Experience with Big Data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Google Cloud, Azure).
• Deep understanding of SQL and NoSQL databases.
• Familiarity with software development tools and practices (e.g., Git, Docker, CI/CD).
• Strong problem-solving and analytical skills.
• Excellent communication and leadership abilities.

What We Offer:

• Innovative Environment: Work in a company that values creativity and solving complex challenges.
• Professional Growth: Opportunities for continuous learning and career advancement.
• Competitive Compensation: Attractive salary and benefits package.
• Flexible Work Options: Support for a healthy work-life balance, including remote opportunities.

If you’re a talented and experienced Machine Learning Engineer eager to lead impactful projects and innovate in a dynamic environment, apply now to join our team! 

,[Leadership and Strategy , Lead and mentor the machine learning team, providing technical direction and support. , Define the strategy for machine learning initiatives aligned with business objectives. , Collaborate with stakeholders to identify opportunities for applying machine learning. , Machine Learning Development , Design, develop, and deploy scalable machine learning models and algorithms. , Build robust machine learning pipelines and infrastructure. , Continuously improve the performance and reliability of existing models. , Data Science and Analysis , Perform exploratory data analysis to extract insights and patterns. , Develop and validate predictive models and statistical analyses. , Communicate findings clearly to stakeholders. , Collaboration and Communication , Work with cross-functional teams, including data engineers, software developers, and product managers. , Translate business requirements into actionable technical solutions. , Present technical concepts and findings to non-technical audiences effectively. , Innovation and Research , Stay updated on advancements in machine learning and data science. , Experiment with and implement cutting-edge approaches and techniques. , Foster a culture of innovation and continuous improvement within the team. , Infrastructure Strategy , Develop and maintain the strategy for machine learning infrastructure. , Oversee the deployment and management of hardware resources, including servers, GPUs, and storage. , Ensure scalability, reliability, and security of infrastructure. Requirements: Python, Amazon Web Services, Project management, Google cloud platform, Machine learning, Google Analytics, Jira Tools: Agile, Scrum, Kanban.

Praca Wrocław

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