Job Description : Machine Learning Engineer
Duration : Full-Time
Work Type : Remote
Shift hours : 10am-6pm CET
Role Overview
We are seeking a skilled Machine Learning Engineer with hands-on experience in Large Language Models (LLMs), backend ML systems, and agentic AI solutions. The role will focus on fine-tuning LLMs, building scalable inference services, and developing intelligent automation to support translation and Virtual Interpreter (VI) tools.
Key Responsibilities
- Write high-quality, production-grade Python code to implement, optimize, and maintain machine learning pipelines, services, and tools.
- Fine-tune and adapt Large Language Models (LLMs) such as Qwen, DeepSeek, and LLaMA on :
- Translation datasets
- Text-based corpora including internal policies, employee handbooks, and training materials
- Design, develop, and maintain backend ML services using Python , including :
- FastAPI -based microservices
- Model deployment and inference using Triton Inference Server and / or vLLM
- Develop agentic AI solutions to support :
- Process optimization
- Workflow automation across internal systems
- Build and maintain data annotation pipelines to support model training and evaluation
- Perform QA testing, validation, and performance evaluation of :
- Virtual Interpreter (VI) tools
- Machine learning model outputs and workflows
Required Skills & Qualifications
Strong proficiency in Python for machine learning and backend developmentHands-on experience with LLM fine-tuning and NLP workflowsExperience deploying ML models in production environmentsFamiliarity with FastAPI , Triton Inference Server , and / or vLLMUnderstanding of agent-based AI systems and automation frameworksExperience with data annotation, QA, and ML evaluation methodologiesAbility to work independently in a remote, part-time setupThink global. Think BIG.
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