Machine Learning Engineer

Description:

You will:
 

• Study and implement cutting edge research in the field
• Design and implement agent workflows that leverage pre-training and fine tuning techniques to customize LLMs and embedding models for downstream tasks
• Understand customer needs
• Work with large unstructured data
• Build evaluation systems
• Work cross functionally with our data annotation teams and fine tune models on this data
• Travel monthly to meet with the customer
   

Minimum Qualifications:
 

• At least 2+ years of model training, deployment and maintenance experience in a production environment
  • Trained deep learning models + have built up that skillset
• Strong skills in NLP, LLMs and deep learning
• Ability and interest in traveling to the client site in the Middle East region at least one week each month

Ideal Qualifications:
 

• Proficient in reading and writing in Arabic
• Past experience working at a startup or in a forward-deployed role
• Has experience working cross functionally with operations
• Experience in dealing with large scale AI problems, ideally in the generative-AI field
• Demonstrated expertise in large vision-language models for diverse real-world applications, e.g. classification, detection, question-answering, etc.
• Published research in areas of machine learning at major conferences (NeurIPS, ICML, EMNLP, CVPR, etc.) and/or journals
• Strong high-level programming skills (e.g., Python), frameworks and tools such as DeepSpeed, Pytorch lightning, Kuberflow, TensorFlow, etc.
• Strong written and verbal communication skills to operate in a cross functional team environment