
Artificial Intelligence Engineer
5 days ago
About the Role
We are looking for a talented and experienced
AI/ML Engineer
to join our team and support our
US operations
with a focus on
fine-tuning and model adaptation
. This is your chance to work on cutting-edge AI projects, optimizing foundation models for
real-world applications
.
Location:
Gulberg 3, Lahore
Work Type:
On-site (6PM - 2AM)
What You'll Do
- Fine-tune large pre-trained AI models, including Vision-Language-Action Models (VLAs) and other robot policy models.
- Build, maintain, and optimize data pipelines for high-quality, domain-specific training datasets.
- Apply advanced tuning methods such as:
- Prompt Engineering
- Reinforcement Learning from Human Feedback (RLHF)
- Parameter-Efficient Fine-Tuning (LoRA, QLoRA)
- Instruction Tuning
- Track key performance metrics to evaluate model performance and identify areas for improvement.
- Collaborate with the US team to integrate fine-tuned models into production environments.
- Monitor deployed models to detect and address issues like model drift.
- Stay up-to-date with the latest research and advancements in AI fine-tuning, training, and deployment techniques.
What We're Looking For
- Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field.
- 2–5 years of hands-on experience in AI/ML model development and fine-tuning.
- Strong programming skills in
Python
, with expertise in
PyTorch, TensorFlow, and Hugging Face Transformers
. - Experience with cloud platforms (
AWS, GCP, Azure
) for training, deployment, and managing large datasets. - Familiarity with containerization technologies (
Docker, Kubernetes
) or MLOps frameworks (
Kubeflow, MLflow, Airflow
) is a plus. - Bonus: Familiarity with
reinforcement learning
and
imitation learning
. - Proven ability to work with
international teams
with strong communication and collaboration skills. - Excellent analytical and problem-solving skills, with the ability to debug and optimize models for real-world applications.
Why Join Us
This is an opportunity to work on
state-of-the-art AI projects
, optimize models for domain-specific tasks, and contribute to innovative solutions that have real-world impact.
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