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Lead AI Architect for Scalable Machine Learning Solutions

3 tygodni temu

Warszawa, Polska Lingaro Pełny etat

We are seeking a highly skilled and experienced Lead AI Architect to join our team at Lingaro. As a Senior ML/AI Engineer, you will play a crucial role in designing and implementing large-scale machine learning solutions that drive business growth and innovation.

Key Responsibilities
  • Collaborate with cross-functional teams to identify opportunities for AI-driven solutions and develop strategic roadmaps for their implementation
  • Design and architect scalable machine learning pipelines using Python, Databricks, and Azure services
  • Develop and maintain production-ready ML-related code, ensuring high-quality, efficient, and reliable models
  • Work closely with data science teams to implement machine learning models into production, driving insights and recommendations that inform business decisions

In this role, you will have the opportunity to work with cutting-edge technologies, including GenAI, MLOps, and LLM/ML/AI automation, and contribute to the development of innovative solutions that shape the future of AI.

About Us

Lingaro is a leading technology company with a strong presence in the market since 2008. We offer a dynamic and inclusive work environment, where you can grow your skills and career as we do. Our team is passionate about AI and its potential to transform businesses and society.

Requirements
  • At least 5+ years of experience in data engineering, with a focus on building scalable data processing systems
  • Strong background in Python development, with expertise in microservices, APIs, and cloud-based architecture
  • Proven track record of delivering production-ready ML-related code, with a focus on model efficiency metrics, life-cycle management, and AI architectures
  • Experience with GenAI tools, such as ChatGPT, Gemini, RAGs, and prompt engineering, and ability to design and deliver GenAI solutions
  • Familiarity with MLOps/LLMOps tools like AzureML/AzureAI and ability to implement AI/MLOps/LLMOps frameworks
What We Offer
  • A dynamic and inclusive work environment, with opportunities for growth and professional development
  • Unlimited access to the Udemy learning platform, with a wide range of courses and resources
  • Certificate training programs, with over 500 technology certificates earned annually
  • Upskilling support, with capability development programs, competency centers, and community webinars
  • A comprehensive benefits package, including life insurance, remote work opportunities, flexible working time, and more