Ml Engineer (Ai)

TL;DR

ML Engineer (AI): Researching, fine-tuning, and improving prompting of LLM models for hirify.global's advanced use cases with an accent on Information Extraction, Information Retrieval, and Text Generation tasks. Focus on continuously researching and staying up-to-date with recent advancements in NLP and large language models, applying novel techniques and methodologies to improve models.

Location: Hybrid in France

Salary: €70,000 - €100,000 a year

Company

hirify.global is the AI-powered business planning and performance management platform built for agility and scale.

What you will do

• Research, fine-tune, and improve prompting of LLM models for hirify.global's advanced use cases (Information Extraction, Information Retrieval, Text Generation tasks, etc.)
• Implement and deploy models in production environments.
• Conduct experiments and benchmarking to assess the performance of various models and architectures.
• Continuously research and stay up-to-date with recent advancements in NLP and large language models, applying novel techniques and methodologies to improve our models.

Requirements

• MS or Ph.D. in Computer Science, Mathematics, or a related field.
• Minimum of 5 years of experience in NLP and machine learning.
• Strong programming skills in SQL, Python, and relevant ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Strong understanding of NLP techniques, including text representation, feature engineering, model selection, tokenization, and embeddings.
• Hands-on experience working with large language models like GPT, LLAMA, BERT, or Transformer-based architectures.
• Solid understanding of GCP and related machine-learning offerings.

Culture & Benefits

• Competitive package
• Stock options to ensure you have a stake in hirify.global's growth
• The best health insurance with Alan Blue entirely free for you and your family 
• Weekly Lunch and Lunch vouchers (Swile card) to cover your lunch breaks with total flexibility
• Trust and flexible working hours
• Remote-friendly environment