Machine Learning Engineer

Traffit; Polska; Hybrid; PLN 180,000 - 280,000; Full time

Job summary

Traffit is hiring a Machine Learning Engineer to accelerate AI-driven innovation across our B2B SaaS product. This hands-on, end-to-end role leads ML/LLM solutions that boost operational efficiency and deliver exceptional product experiences.

You will collaborate with product managers, engineers, and stakeholders to identify AI opportunities, build state-of-the-art systems, and scale them across the organization, embedding AI across departments.

Qualifications

• 6+ years in Backend, Data Engineer, or ML Engineer.
• Bachelor’s degree in Computer Science or a related STEM field.
• Strong proficiency in Python and ML tooling.
• Proven ability to build production‑grade ML systems end‑to‑end.
• Deep experience with LLMs and ML frameworks (LangChain, LangGraph, Hugging Face, TensorFlow, PyTorch).
• Solid foundation in system design, architecture, and microservice patterns.
• Excellent problem‑solving skills and ownership mindset.
• Strong collaboration and communication abilities.

Responsibilities

• AI-First Development: Design and implement POCs and production‑ready ML/LLM solutions that address real‑world business problems.
• End-to-End Execution: Own projects from research through deployment, including model training, evaluation, integration, and monitoring.
• Tool Evaluation: Stay current with state‑of‑the‑art ML/LLM tools and frameworks and recommend their application.
• Collaboration: Partner with engineering, product, and operations teams to embed AI into user‑facing features and internal workflows.
• System Integration: Build scalable microservices and APIs to deliver AI capabilities across the product.
• Operationalization: Contribute to DevOps practices for CI/CD, observability, and ongoing optimization of AI models.
• Strategic Reporting: Communicate progress and insights directly to senior management.

Skills

Python

ML tooling

LLMs

System design

Microservices

Collaboration

Ownership

Problem solving

Education

Bachelor's degree in CS or STEM

Tools

LangChain

LangGraph

Hugging Face Transformers

TensorFlow

PyTorch

Job description

Location: Poland / Ukraine (remote)
We’re hiring a Machine Learning Engineer to accelerate AI-driven innovation across our B2B SaaS product.

This is a hands‑on, end‑to‑end development role where you'll lead the implementation of ML/LLM‑based solutions that boost operational efficiency and deliver exceptional product experiences. As an AI-First company, we embed AI across every department and workflow—you'll be at the heart of this transformation.

You will collaborate closely with product managers, engineers, and stakeholders to identify impactful AI opportunities, build state‑of‑the‑art systems, and scale them across the organization.

What You Will Do

• AI-First Development: Design and implement POCs and production‑ready ML/LLM solutions that address real‑world business problems.
• End-to-End Execution: Own projects from research through deployment, including model training, evaluation, integration, and monitoring.
• Tool Evaluation: Stay current with state‑of‑the‑art ML/LLM tools and frameworks (e.g., LangChain, Hugging Face Transformers, TensorFlow, PyTorch) and recommend their application.
• Collaboration: Partner with engineering, product, and operations teams to embed AI into user‑facing features and internal workflows.
• System Integration: Build scalable microservices and APIs to deliver AI capabilities across the product.
• Operationalization: Contribute to DevOps practices for CI/CD, observability, and ongoing optimization of AI models.
• Strategic Reporting: Communicate progress and insights directly to senior management.

What You Will Bring

• 6+ years of experience as a Backend Developer, Data Engineer, or ML Engineer
• Bachelor’s degree in Computer Science or a related STEM field
• Strong proficiency in Python and ML tooling
• Proven ability to build production‑grade ML systems end‑to‑end
• Deep experience with LLMs and ML frameworks (e.g., LangChain, LangGraph, Hugging Face, TensorFlow, PyTorch)
• Solid foundation in system design, architecture, and microservice patterns
• Excellent problem‑solving skills and ownership mindset
• Strong collaboration and communication abilities

Bonus if you have

• M.Sc. in Computer Science, Software Engineering, or similar field
• Experience building and scaling LLM-powered applications
• Familiarity with AWS and DevOps best practices (CI/CD, monitoring, IaC)
• Exposure to NoSQL and real‑time data processing pipelines

You Will Get

• High-impact ownership of critical AI systems across our product and organization.
• Freedom to take initiatives from idea to fully deployed solutions.
• Exposure to cutting‑edge AI technologies and learning opportunities.
• Supportive leadership and a fast‑moving, collaborative culture.