13 Mai

Senior Machine Learning Engineer (LLM)

Evolvice is a nearshore technology services provider that helps businesses scale, innovate, and enhance efficiency. Since 2012, we’ve been developing software solutions and building high-performing remote teams. Today, we focus on integrating AI into business processes and providing IT and security support to drive digital transformation.

Originally based in Germany, we have established development hubs in Egypt, Ukraine, and Portugal, as well as offices in Saudi Arabia. This international presence enables us to deliver high-quality, cost-effective solutions worldwide.

Our Services:

Nearshore Teams – Build and scale remote teams of any size with expert engineers.

AI-Powered Business Productivity – Leverage AI-driven software solutions to boost efficiency.

Cybersecurity – Safeguard your business with advanced security assessments and services.

Managed IT & Application Support – Ensure seamless operations with proactive IT management and support.

We’re proud to work with industry leaders like Bosch, Douglas, WTS, DHL, Tatweer and GOSI, and many others. Combining German precision with nearshore agility, we provide secure, scalable, and cost-effective IT solutions tailored to your business needs.

Currently, we are searching for a Position Name to join the big team of professionals.

Project – IT Solutions .
Full technology stack on the project – LLMs (GPT, BERT), Transformers, Vector DBs (Pinecone, FAISS), Hugging Face, LangChain .

Requirements:

• 5+ years of experience in ML/NLP, with at least 2+ years in LLM-related work.

• Strong proficiency in Python and ML libraries ( PyTorch, TensorFlow, Hugging Face Transformers).

• Experience with document classification, information extraction, and question answering.

• Familiarity with BIM/IFC data models or willingness to learn domain-specific structures.

• Experience with vector databases (e.g., FAISS, Pinecone) and semantic search.

• Strong understanding of prompt engineering, few-shot learning, and LLM fine-tuning.

• Excellent communication and documentation skills.

• Experience integrating LLMs into product pipelines or SaaS applications is a plus.

• Background in law, architecture, or engineering compliance domains is a plus.

• Familiarity with tools like LangChain, LlamaIndex, or OpenAI APIs is a plus.

Responsibilities:

• Design and develop ML/NLP models to interpret, extract, and summarize key insights from regulatory/legal texts.

• Create robust pipelines to connect LLM outputs with IFC (BIM) model metadata and property queries.

• Fine-tune LLMs (e.g., OpenAI, Hugging Face models) for domain-specific tasks.

• Build semantic and contextual search solutions over regulatory corpora.

• Work closely with domain experts to encode regulatory interpretation logic into models.

• Evaluate and optimize model performance, interpretability, and safety.

• Maintain efficient deployment workflows and monitor inference quality in production.

• Collaborate with software and compliance teams to integrate models into workflows.