AI/ML Research Engineer
Job Description
Role Overview
We are seeking a Graduate AI / ML Engineer (LLM Research & Fine-Tuning) with strong research exposure and hands-on experimentation experience in Large Language Models (LLMs). This role is ideal for candidates coming from research internships, academic projects, or thesis work, who want to apply cutting-edge ML research to real-world systems.
Key Responsibilities
Experiment with and fine-tune LLMs using techniques such as LoRA, QLoRA, PEFT, instruction tuning, and related methods.
Work on dataset preparation, including cleaning, preprocessing, anonymization, and licensing considerations.
Design and run ML experiments and evaluations, tracking metrics using tools like MLflow or similar.
Assist in deploying and testing models using inference or serving frameworks (e.g., vLLM, AWS Bedrock, or equivalent).
Contribute to RAG pipelines, embeddings, and tool-augmented LLM workflows.
Collaborate with senior engineers, researchers, and product teams to convert research ideas into prototypes.
Follow model safety, compliance, and responsible AI practices.
Stay up to date with the latest LLM research, papers, and open-source advancements.
Required Skills & Qualifications
Bachelor’s degree in Computer Science, AI, ML, or a related field (Master’s preferred but not required).
Strong foundation in machine learning fundamentals and applied ML concepts.
Research experience through thesis work, academic projects, internships, or publications.
Proficiency in Python for ML experimentation and prototyping.
Ability to communicate research findings clearly and collaborate effectively in a team environment.
Must Have
Hands-on experience with LLMs through academic, research, or personal projects.
Familiarity with PyTorch, Hugging Face, or similar ML frameworks.
Experience working with datasets and ML experimentation workflows.
Understanding of parameter-efficient fine-tuning techniques (LoRA / QLoRA / PEFT).
Working knowledge of Git and basic software engineering best practices.
Strong curiosity, attention to detail, and a growth-oriented mindset.
Why join us:
We hire for talent density — people who elevate our engineering and research culture.
Work on real-world AI problems where applied research directly impacts production systems.
Opportunity to grow from research-focused experimentation into production-grade AI engineering.
Our engineering culture:
- The How and Why: Why We’re Here How We Challenge Ideas How We Work Together
- Advanced training program: Learning @ Carbonteq
- Transparent growth paths: Progression Framework
- Our Open Source & Internal Tools
Perks:
🏥 Comprehensive Health Insurance
🏋️ Premium Gym Membership
📚 Dedicated Learning & Development Budget
💰 Annual Performance-Based Increments & Bonuses
🍕 In-house Meals (Lunch + Dinner)
🎮 Game Area & Sports Activities
🎉 Annual Trip & Monthly Recreational Activities
🎤 Annual Dinner with Entertainment
Details:
📍 Onsite – DHA Phase 5, Lahore
🗓 Mon–Fri | ⏰ 12 PM – 9 PM PKT