Machine Learning Scientist (AI)

TL;DR

Machine Learning Scientist (AI/ML): Designs, builds, and deploys cutting-edge machine learning and generative AI solutions at scale, combining data science expertise with ML and data engineering capabilities. Focus on crafting advanced analytical solutions, prototyping new generative capabilities using prompt engineering, and developing production-quality code for hirify.global's global product launches.

Location: Hybrid in Sofia, Bulgaria

Company

hirify.global is a global data and technology company focused on redefining lending practices, preventing fraud, and providing insights using data, analytics, and software across various industries.

What you will do

• Design, build, and deploy cutting-edge machine learning and generative AI solutions at scale.
• Partner with data scientists, engineering, research, and product teams to productize analytics solutions and bring new solutions to market.
• Craft advanced machine learning analytical solutions and prototypes to extract insights from diverse structured and unstructured data sources.
• Utilize Gen AI and model development tools to prototype and deploy new generative capabilities, including prompt engineering, fine-tuning, and RAG.
• Develop production-quality code following software engineering best practices, ensuring reliability and reproducibility.
• Communicate model methodologies, assumptions, performance, and trade-offs to both technical and non-technical stakeholders.

Requirements

• 4+ years of experience in AI, data science, or predictive modeling with a track record for managing complex projects.
• Advanced degree in Machine Learning, Data Science, AI, Computer Science, or a related quantitative field.
• Statistical modeling proficiency in Python and coding skills with distributed computing frameworks (AWS), and Spark (pySpark preferred).
• Experience applying Generative AI-based tools and rapid prototyping of new concepts.
• Background in model risk management/governance processes, regulatory requirements, and LLM advances.

Culture & Benefits

• Personal Development: Career pathway for professional growth supported by learning and development programs and unlimited access to online educational courses.
• Excellent work conditions with a friendly environment and recognized team spirit.
• Social benefit package including life insurance, food vouchers, additional health insurance, monthly flex allowance, and internet coverage.
• Work-life balance: 25 days paid vacation, 1 additional day off for your birthday, and 3 extra paid days for participation in Social Responsibility events.
• Opportunity for Flexible working hours and Home Office.
• Equal opportunity employer with accommodations for disabilities.