AI Engineer

Have good knowledge in at least one of the following areas: Machine Learning, Natural Language Processing, Deep Learning Architectures (AutoEncoder, CNN, RNN, ViT, BERT, LLMs (Mistral, LlaMa, Qwen, VLMs etc. )
Has expertise in collecting data from websites and generating data from LLMs to build highly quality training datasets
Has expertise in doing survey huggingface datasets and models, training NLP models.
Proficient in high-level programming languages, especially Python.
Familiar with Linux/Unix/Shell, Docker.
Training and deploying machine learning
Familiar with cloud platforms like AWS/Azure.
Proficient in FAST API.
Processing models through backend: ONNX, TritonServer
Message broker: RabbitMQ
Databases: MongoDB, Solr, Elasticsearch
Serving large language models GPT, Llama, Mistral, Phi, Qwen with vLLM, Unsloth, SGLang
Continual pre-training, finetuning large language models with LoRa, SFT, DPO, ORPO
Required Soft Skills
Good interpersonal, self-organizing, problem solving, reasoning and analytical skills.
Passionate about quality, work productivity and product maintainability.
Communicate your ideas and knowledge well to your teammates.
Demonstrate team spirit and communication skills.
Academic and Experience Requirements
Bachelor's or Master's degree in Computer Science, Computer Software Engineering, Applied Mathematics or related field;