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Data Science Architect with a Focus on AI Engineering

2 tygodni temu

Puławska Warszawa, Polska Lingaro Pełny etat

At Lingaro, we are seeking a highly skilled Data Science Architect to join our AI Engineering team as part of our Data Science and AI Competency Center. This role will be responsible for implementing Machine Learning models into production in collaboration with Data Science teams.

We are looking for a candidate with at least 5+ years of experience in Data engineering, particularly in building data processing systems, and 3+ years of experience in production-ready ML-related code development. The ideal candidate should have a strong background in designing and implementing GenAI solutions using tools like AzureML/AzureAI.

Key Responsibilities:
  • Collaborate with Data Science teams to design, develop, and implement Machine Learning models into production
  • Design, delivery GenAI solutions using cutting-edge technologies like AzureML/AzureAI
  • Implement practical and innovative LLM/ML/AI automation solutions for scale and efficiency
  • Manage the industrialization of processing pipelines and ensure best practices in ML model life cycles and ML operations
  • Present solutions, concepts, and results to internal and external clients

The successful candidate will also have excellent communication skills, be able to work effectively in a team, and take responsibility for tasks and deliverables. Additionally, they should have a good understanding of Cloud concepts and architectures, as well as working knowledge with selected cloud services, preferably Azure or GCP.

Requirements:
  • At least 5+ years of Data engineering experience with last 3 years experience in building Data processing systems
  • At least 5+ years of experience in production-ready Python code development (e.g., microservices, APIs)
  • At least 3+ years of experience in production-ready ML-related code development
  • Practical experience in MLOps/LLMOps tools like AzureML/AzureAI
  • Good understanding of ML/AI concepts: types of algorithms, machine learning frameworks, model efficiency metrics, model life-cycle, AI architectures
  • Fluency in written and spoken English
Benefits:
  • Stable employment with opportunities for growth and professional development
  • Flexible working arrangements, including remote work options
  • Comprehensive online onboarding program with a dedicated buddy
  • Access to top-tier engineers and experts in the field
  • Unlimited access to the Udemy learning platform from day one
  • Certificate training programs and upskilling support