Responsibilities:

• Model Implementation & Benchmarking: Reproduce, adapt, and benchmark state-of-the-art architectures from recent AI research papers.
• Data Engineering: Curate, preprocess, and augment large-scale datasets for model training, fine-tuning, and evaluation.
• Experimentation & Fine-Tuning: Assist in training and fine-tuning models (e.g., LLMs, Diffusers, or Vision models) using techniques like LoRA, QLoRA, or RLHF.
• Evaluation & Alignment: Design and implement rigorous evaluation frameworks to measure model performance, bias, hallucination rates, and safety.
• Pipeline Optimization: Help optimize training loops and inference speeds using tools like DeepSpeed, TensorRT, or vLLM.

Requirements:

• Degree/Higher Diploma in Computer Science / Information Technology or equivalent
• Experience in Python or Java or .Net or PhP or javascript
• Self-motivated, able to work independently and willing to learn

Job Type: Full-time

Pay: $16,000.00 - $24,000.00 per month

Benefits:

• Medical Insurance

Work Location: In person