Job Description
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 development
Hands-on experience with LLM fine-tuning and NLP workflows
Experience deploying ML models in production environments
Familiarity with FastAPI , Triton Inference Server , and/or vLLM
Understanding of agent-based AI systems and automation frameworks
Experience with data annotation, QA, and ML evaluation methodologies
Ability to work independently in a remote, part-time setup
Think global. Think BIG.
Visit us: https://biglanguage.com
Linkedin: https://www.linkedin.com/company/big-language-solutions/mycompany/
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 development
Hands-on experience with LLM fine-tuning and NLP workflows
Experience deploying ML models in production environments
Familiarity with FastAPI , Triton Inference Server , and/or vLLM
Understanding of agent-based AI systems and automation frameworks
Experience with data annotation, QA, and ML evaluation methodologies
Ability to work independently in a remote, part-time setup
Think global. Think BIG.
Visit us: https://biglanguage.com
Linkedin: https://www.linkedin.com/company/big-language-solutions/mycompany/
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