AI Engineer

Job Description

Key responsibilities:

• AI Model Development: Design, fine-tune, and evaluate Vision-Language Models (CLIP, BLIP, LLaVA, Kosmos, Gemini-style).
• GPU Acceleration & Optimization: Implement training and inference pipelines optimized for NVIDIA platforms (CUDA, TensorRT, NeMo, DGX).
• AI Agent Integration: Develop and deploy AI agents using internal or external inference APIs.
• Data & Evaluation: Build multimodal datasets, lead benchmarking, and drive continuous performance improvements.
• Research & Innovation: Stay ahead of emerging trends in Generative AI, multimodal learning, and agentic architectures.
• Collaboration: Work closely with data scientists, engineers, and product managers.

Your Profile

• Master’s degree (or PhD) in Machine Learning, AI, Computer Vision, or related field.
• 3–6+ years of professional experience in AI R&D or applied deep learning.
• Strong proficiency in Python, PyTorch, and modern AI toolkits (Transformers, Diffusers, Hugging Face).
• Hands-on experience with NVIDIA technologies (CUDA, TensorRT, NeMo) and GPU training pipelines.
• Experience deploying AI agents using inference APIs.
• Curious, rigorous, and entrepreneurial — comfortable in a fast-paced innovation environment.

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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