(Biopharma) Senior Data Scientist, #41375

Remote
Remote (Europe)
Posted 1 week ago

Job Type

100% Remote

Work from anywhere

Location Preference

Remote (Europe)

Preferred time zones

Experience Level

Senior

Required experience

Job Categories

Job Description

ELEKS Artificial Intelligence Office is looking for a Data Scientist in Poland or Croatia.

ABOUT PROJECT 
Our client is a Germany-based global supplier of pharmaceutical and laboratory equipment, specializing in Bioprocess Solutions and Lab Products & Services.

REQUIREMENTS

  • 5+ years of experience in the Data Science field
  • Strong expertise in both Computer Vision and Natural Language Processing
  • Hands-on experience with one or more of the following CV tasks: activity detection (HAR), pose estimation/skeleton extraction, hand gesture detection, object localization/re-identification
  • Experience with one or more of the following NLP tasks: dictionary learning, information retrieval, LLMs
  • Familiarity with contrastive loss, CLIP, and temporal models is a strong plus
  • Proficiency in Python for data science and machine learning tasks
  • Advanced English communication skills (spoken and written)
  • Willingness to travel for occasional business trips

RESPONSIBILITIES

  • Create innovative AI models and algorithms to support smart user guidance systems, focusing on enhancing operational efficiency and user experience
  • Utilize a combination of CV and NLP methods to analyze visual and textual data, enabling intelligent system responses and feedback
  • Build and test proof-of-concept models to demonstrate feasibility, performance, and scalability of AI-driven features
  • Work closely with a cross-functional team to align AI development with project goals and system architecture
  • Provide input on interface and workflow design to ensure seamless integration of AI components into the user guidance system
  • Collect, preprocess, and analyze data to train models, ensuring high accuracy and reliability in real-time environments
  • Maintain clear documentation of methodologies, experiments, and results; contribute to team knowledge sharing and best practices
  • Keep up-to-date with advancements in AI, CV, and NLP to continuously improve solutions and recommend new approaches

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