Senior Data Science/ML Engineer (AI)

Location: Remote in Brazil, Bulgaria, Colombia, Cyprus, Latvia, Mexico, Poland, LATAM, Romania, Serbia, Ukraine, or Uruguay

Company

hirify.global delivers innovative technology solutions through global client projects, including work for a leading organization in the insurance industry.

What you will do

• Define and implement frameworks for measuring, evaluating, and continuously improving AI/ML solutions in production.
• Build AI agent systems and multi-step workflows with LangGraph, including tool usage, memory management, and state management.
• Fine-tune encoder-based and generative models for production use.
• Develop production-ready Python applications and APIs with FastAPI, Flask, or Django.
• Deploy, monitor, benchmark, and optimize machine learning models and evaluation pipelines in production environments.
• Influence architecture, roadmaps, and AI/ML engineering practices across the organization.

Requirements

• 5+ years of experience in ML/AI with strong Python software engineering and hands-on development experience.
• Experience designing model evaluation frameworks, defining metrics, and developing optimization strategies for production AI systems.
• Experience fine-tuning BERT and RoBERTa encoder models and working with large language models.
• Experience with LangGraph, AI agents, and multi-step reasoning systems.
• Experience with PyTorch or TensorFlow, Hugging Face, vector databases, RAG architectures, cloud platforms, and Docker.
• Strong understanding of MLOps, production ML systems, model monitoring, and observability.

Nice to have

• Master's degree or PhD in Computer Science, Machine Learning, or a related field.
• Experience with multi-agent systems, agent communication frameworks, advanced prompting, or reasoning patterns.
• AI/ML publications or open-source contributions.
• Experience scaling AI systems for high-traffic production environments.

Culture & Benefits

• Work on global projects in a supportive, flexible, and innovative technology environment.
• Vacation and state holidays are provided according to the laws and official calendar of the employee's country.
• Health insurance support for employees and their loved ones.
• Paid sick leave, including 10 days without a doctor's note.
• IT certification support, access to courses and learning platforms, and regular colleague events.