Candidate location
Latin America, Europe

Key Responsibilities

Cross-Functional Collaboration

• Partner with Product teams to implement model changes, performance optimizations, and feature enhancements based on business requirements
• Conduct model tuning sessions with Product stakeholders to align AI capabilities with user experience goals
• Engage with various stakeholders to gather specifications, define technical requirements, and establish project scope for AI/ML initiatives
• Facilitate requirement-setting sessions with business teams to translate functional needs into technical AI/ML solutions

Technical Development & Production

• Collaborate closely with Senior Data Scientists to transition experimental model prototypes into robust, production-ready systems
• Participate in code reviews and technical discussions to ensure models meet scalability, performance, and reliability standards
• Support the productionization process including model deployment, monitoring, and maintenance workflows

Core AI & Machine Learning Skills

AI Fundamentals

• Proficiency in basic prompt engineering techniques and best practices for optimizing AI model interactions
• Experience with Large Language Model (LLM) API integration and usage across various platforms
• Hands-on experience with model finetuning processes to adapt pre-trained models for specific use cases
• Knowledge of model distillation techniques to create efficient, lightweight models from larger architectures

Natural Language Processing

• Working knowledge of embedding models and their applications in text analysis
• Experience implementing semantic analysis solutions for content understanding and similarity matching
• Proficiency in batch processing workflows for large-scale NLP tasks and data pipeline management

Data Science & Analytics

Statistical Foundation

• Solid understanding of hypothesis testing methodologies and statistical significance evaluation
• Experience with regression analysis techniques for predictive modeling and trend analysis
• Knowledge of classification algorithms and their appropriate use cases
• Familiarity with decision tree models, including implementation and interpretation

Technical Skills

Programming Languages

• Must have: Proficiency in Python for data science, machine learning, and automation tasks
• Nice to have: Working knowledge of Ruby for web development and scripting applications

Infrastructure & Data Management

• Experience with Amazon Web Services (AWS) cloud platform and core services
• Basic database management skills including query optimization and data modeling
• Understanding of software engineering principles including version control, testing, and deployment practices

Experience Level

This role is suitable for candidates with 2-4 years of relevant experience or new graduates with strong academic background and demonstrated project experience in AI/ML applications.

Preferred Qualifications

• Bachelor's degree in Computer Science, Data Science, Engineering, or related technical field
• Portfolio of projects demonstrating practical application of the above technologies
• Experience working in collaborative development environments
• Strong problem-solving skills and ability to learn new technologies quickly
• Excellent communication skills for cross-functional collaboration with technical and non-technical stakeholders