At TRG we work in a global environment where every diverse personality and culture is included. We look for talented people worldwide who have passion for what they do and work together, shoulder to shoulder, to empower our customers in their fight against crime and terror.Though technology is important, people always come first!
Our Core Values are our DNA, so if your DNA matches ours you are at the right place!
- Let's do it! We follow a can-do approach, taking responsibility for milestones.
- Passion is our fuel! We Learn. We Grow. We Innovate.
- We make an impact! We bring innovation and always ask why.
- We work together! One for all, and all for one.
About you
We are seeking an AI/ML Engineer specialized in data preparation, fine-tuning, and validating large language models (LLMs). You will transform raw domain data into high-performance models, enabling intelligent applications such as AI agents, chatbots, or domain-focused automation.
What you’ll work on:
- Curate, preprocess, and manage datasets for LLM and classical models training and evaluation.
- Fine-tune LLMs using techniques such as LoRA, QLoRA, or RLHF.
- Design evaluation pipelines and metrics to ensure model accuracy, robustness, and alignment with product goals.
- Integrate fine-tuned LLMs into production systems, supporting iterative improvements.
- Collaborate with cross-functional teams to translate domain knowledge and business requirements into applied AI solutions.
What we look for:
- Strong Python programming, agile engineering mindset and data engineering skills.
- Hands-on experience with LLM frameworks (Hugging Face, PyTorch, TensorFlow).
- Expertise in dataset curation, preprocessing, and annotation for ML/AI tasks.
- Proven experience fine-tuning and validating LLMs.
- Knowledge of prompt engineering, model evaluation, and deployment best practices.
You’ll stand out if you have:
- Familiarity with AI agent frameworks or retrieval-augmented generation (RAG).
- Experience with reinforcement learning for language models (RLHF).
- Exposure to cloud-based ML pipelines (AWS, GCP, Azure).
- Background in classical ML (vision, time-series, tabular) is a plus.
- Familiarity with MLOps tools is a plus
Your perks:
- Working from home Hit your goals from the comfort of your home because we value the performance, not the place.
- Flexible hours because we promote work-life balance.
- Yearly performance bonus to reward good performance and hard work.
- Paid medical insurance because we like to take care of you.
- Daily lunch allowance so you can save lots of money, time, and effort by enjoying your free lunch at the office or home every day.
- Sport/Gym(Exercise) allowance to focus more on yourself, your well-being, and your health.
- Udemy unlimited subscription to promote your learning and development and grow your career.
- Onboarding plan and training so that you have a smooth induction and feel confident and ready to take over your new role.
- Equipment support so you have all the tools to do effectively and efficiently your work.
- No dress code because we want you to be as comfortable as possible.
- Gifts and rewards for celebrating birthdays, anniversaries, and personal milestones.
- Happy hours, coffee time, online team building, company events, and much more to promote team bonding and of course to have fun!
- Fresh fruit, snacks, coffee, and tea at the office because work makes us hungry!
About us
TRG Research and Development deals with Data Fusion and AI products for civilian protection.
Our mission is to empower our customers to fight crime and terror through state-of-the-art technologies that provide accurate and precise intelligence.
Our product, Intellectus is the only cloud-based all-in-one fusion platform with integrated web intelligence, discovery capabilities, advertisement intelligence, virtual ID management, and third-party database integration that can be deployed in less than 24 hours.
Want to learn more? Visit our website at www.trgint.com and our LinkedIn page.
TRG Research and Development Ltd processes and/or controls all data in accordance with the EU General Data Protection Regulation (GDPR) 2016/679. For more information visit our Privacy Policy.
