Skills

ai
computer-vision
data-pipelines
llm
machine-learning
neural-networks
nlp
prompt-engineering
python
pytorch
rag
tensorflow

Must have

Strong proficiency in Python and frameworks like PyTorch or TensorFlow.
Experience with LLMs, Prompt Engineering, or RAG architectures is a major plus.
Degree in Computer Science, Math, or a related field.

Full description

We are looking for AI Engineers to design, develop, and deploy production-grade machine learning models. You will work on cutting-edge projects ranging from Natural Language Processing (NLP) to Computer Vision, ensuring AI solutions are scalable and impactful.

Key Responsibilities:

Develop and implement ML/DL algorithms and neural networks.
Build and maintain data pipelines for training and inference.
Collaborate with Product Managers to translate business needs into technical AI specs.
(Senior/Lead) Mentor junior engineers and oversee architecture decisions.

Requirements:

Strong proficiency in Python and frameworks like PyTorch or TensorFlow.
Experience with LLMs, Prompt Engineering, or RAG architectures is a major plus.
Degree in Computer Science, Math, or a related field.

Key Responsibilities:

Develop and implement ML/DL algorithms and neural networks.
Build and maintain data pipelines for training and inference.
Collaborate with Product Managers to translate business needs into technical AI specs.
(Senior/Lead) Mentor junior engineers and oversee architecture decisions.

Requirements:

Strong proficiency in Python and frameworks like PyTorch or TensorFlow.
Experience with LLMs, Prompt Engineering, or RAG architectures is a major plus.
Degree in Computer Science, Math, or a related field.