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