Senior Data Scientist (ML)

TL;DR

Senior Data Scientist (ML): Developing and deploying machine learning models and scalable data processes with an accent on AI/LLM systems, big data challenges, and AWS-based ML pipelines. Focus on designing advanced ML experimentation, feature engineering, and optimizing data workflows to impact product strategy and business outcomes.

Location: Remote with main hubs in Poland (Wroclaw, Bialystok, Warsaw) and other countries

Company

hirify.global is a global SaaS technology company specializing in no-code workflow automation, electronic signature, and document management solutions serving millions worldwide.

What you will do

• Design, develop, and deploy machine learning models using advanced statistical, predictive, and deep learning techniques.
• Drive hands-on ML experimentation, feature engineering, and model optimization using Python and ML libraries like PyTorch.
• Build and optimize ETL/ELT processes ensuring data quality, lineage, and reliability.
• Use AWS services including SageMaker for ML development and deployment.
• Write advanced SQL queries for data preparation and validation.
• Collaborate with engineering teams on data architecture and pipeline enhancements.

Requirements

• 6+ years experience in Data Science or Machine Learning
• Strong Python, SQL, and AWS skills
• Experience with AI/LLM systems and Transformer models (BERT, GPT, etc.)
• Upper-Intermediate English or higher
• Strong understanding of big data fundamentals and ML algorithms

Nice to have

• Experience with real-time streaming platforms (Kafka, Spark)
• Experience with feature stores and model registries
• Bachelor's or Master’s degree in a quantitative field

Culture & Benefits

• Flexible working environment with remote and hybrid options
• Competitive compensation with performance bonuses and stock options
• Professional growth through courses, conferences, and internal mobility
• Comprehensive health and wellness benefits
• Family-friendly culture and support programs
• Open communication and transparent company culture