Machine Learning Engineer

Spline; Wrocław; Hybrid; PLN 240,000 - 320,000; Full time

Job summary

A leading technology company seeks a Machine Learning Engineer to design and optimize large language models for diverse applications. This hybrid position offers the opportunity to collaborate with a dynamic team and work on innovative AI solutions in fields like molecular biology and biotechnology.

Benefits

Hands-on experience with modern cloud data solutions

Work in an engaged team with diversified expertise

Opportunity to deliver AI and ML solutions at scale

Qualifications

• 2+ years of hands-on experience with LLMs or NLP.
• Deep understanding of modern NLP techniques.
• Experience with cloud infrastructure and model deployment.

Responsibilities

• Design, train, fine-tune, and evaluate large language models.
• Deploy and integrate LLMs into production applications.
• Collaborate with teams to solve business problems using LLMs.

Skills

Python

NLP

LLMs

Transformer-based models

MLOps

Tools

AWS

GCP

Azure

Job description

Responsibilites

• Model Development & Fine-Tuning: Design, train, fine-tune, and evaluate large language models (LLMs) using domain-specific or proprietary data to meet business needs.
• Prompt Engineering: Craft, test, and optimize prompts to improve model outputs
• LLM Integration: Deploy and integrate LLMs into production applications, including agentic solutions, RAG, chatbots, designing APIs, latency/throughput optimization, and monitoring.
• Research & Experimentation: Stay current with state-of-the-art LLM architectures and techniques, and evaluate their application for internal use cases.
• Stakeholder Collaboration: Collaborate with product, data, and engineering teams to translate business problems into LLM-powered solutions and communicate model limitations or trade-offs effectively.
  
  

Requirements

• Minimum 2 years of hands-on experience with LLMs, NLP, or foundation model development in an industry setting.
• Deep understanding of transformer-based models and modern NLP techniques.
• Proficiency in Python and experience with common LLM/NLP libraries and frameworks
• Experience with fine-tuning and serving LLMs
• Familiarity with vector databases and retrieval-augmented generation (RAG) pipelines
• Experience with MLOps, cloud infrastructure (AWS/GCP/Azure), and model deployment tools for LLM-based systems.
  
  

What We Offer

• Deep understanding of the domain knowledge in the field of molecular biology and biotechnology
• Exposure and hands on experience in the development of modern cloud data solutions
• Ability to deliver AI and ML solutions at scale
• Opportunity to work in an experienced and engaged team consisting of Data Engineers, Data Scientists, Machine Learning Engineers and stakeholders from different business domains
  
  

location: Wroclaw (hybrid)

start: August-October

seniority: 2+ years experience