Machine Learning Engineer | Python | PyTorch | Natural Language Processing | LLM | Large Langua[...]

Enigma; Deutschland; Remote; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A leading technology recruitment firm is seeking a Senior Delivery Consultant to advance AI assistants. In this fully remote role, you will collaborate with engineers, evaluate machine learning systems, and design experiments to enhance performance. Ideal candidates will possess a Master's or PhD in relevant fields and strong machine learning and NLP knowledge. This is a unique opportunity to work in an innovative and fast-paced environment while contributing to cutting-edge technology.

Qualifikationen

• A Master's or PhD in Computer Science, Machine Learning, Mathematics, Statistics, or a related field.
• Strong knowledge of machine learning, deep learning, and natural language processing.
• Hands‑on experience training, fine‑tuning, and deploying LLMs.
• Significant experience building evaluation systems for search or language models.

Aufgaben

• Collaborate closely with the core team and software engineers.
• Stay up-to-date with the latest research and apply new ideas.
• Design, run, and analyse experiments to push system performance.

Kenntnisse

Machine Learning

Deep Learning

Natural Language Processing

Information Retrieval

Analytical Skills

Ausbildung

Master's or PhD in Computer Science, Machine Learning, Mathematics, or related field

Tools

Vector Databases

Search Indices

Jobbeschreibung

Senior Delivery Consultant at Enigma - Global Machine Learning and Generative AI Recruitment

About Us

We build AI assistants that make technical knowledge instantly accessible. As a research engineer, you will work on advancing our system’s ability to answer increasingly complex technical questions. Our technology is already deployed on real-world developer documentation, where users can query information directly through an integrated AI assistant.

The Challenges You’ll Work On

• Evaluating a retrieval-augmented-generation (RAG) system in production without labelled data
• Designing your own benchmarks from scratch
• Building an agentic retrieval pipeline that adapts between fast and more thorough query strategies
• Fine-tuning embeddings or reranking models

What You’ll Do

• Collaborate closely with the core team and software engineers
• Stay up-to-date with the latest research and apply new ideas to real product challenges
• Design, run and analyse experiments to push system performance

You Might Be a Great Fit If You Have

• A Master's or PhD in Computer Science, Machine Learning, Mathematics, Statistics, or a related field
• Strong knowledge of machine learning, deep learning (including LLMs), and natural language processing
• Hands‑on experience training, fine‑tuning, and deploying LLMs
• Experience working with vector databases, search indices, or data stores for retrieval use cases
• Significant experience building evaluation systems for search or language models
• Familiarity with information retrieval techniques (e.g., lexical search, dense vector search)
• Comfort working in a fast‑moving environment with ambiguous problem spaces
• A desire to learn more about ML research

Please note that this position is fully remote in Europe but you MUST have the right to work in your country of residence.