Machine Learning Engineer

7 days ago


Dubai, Dubai, United Arab Emirates Careo Ai Full time
Machine Learning Engineer

About Careo.ai: At Careo.ai, we're shaping the future with AI-powered solutions that drive innovation and efficiency. Our team is committed to building reliable, scalable, and secure systems to support groundbreaking applications. Join us in crafting robust backend systems that power extraordinary user experiences.

Position Overview: We are seeking a highly skilled Machine Learning Engineer with specialized knowledge in the realm of NLP. The ideal candidate will have a proven track record in leveraging data, particularly within the healthcare or clinical data domain. This individual will play a pivotal role in designing, implementing, and optimizing our data and ML infrastructure, specifically focusing on NLP.

Mandatory Requirements
  • Experience with Machine Learning Frameworks (PyTorch, etc.)
  • Containerization and Orchestration (e.g., Docker, Kubernetes)
  • Familiar with Bash shell scripting.
  • Excellent problem-solving skills and ability to work collaboratively in a cross-functional environment.
  • Using Kubernetes to manage and deploy clusters
  • Ability to design, implement and deploy microservices.
  • Experience with web scraping and parsing data from documents like PDFs or docx.
  • Experience with multi-threading and parallelization of processes.
NLP Requirements
  • Prior experience with Natural Language Processing (NLP) and common machine learning models.
  • Understanding of NLP techniques for text representation, semantic extraction techniques, data structures and modelling.
  • Experience in NLP libraries such as NLTK, spaCy or Transformers.
  • Experience with quantization, fine-tuning, pretraining of LLMs.
  • Experience with Deepspeed, AWQ, PEFT.
  • Experience with writing custom prompts for various tasks, like information extraction.
  • Experience building LLM training pipelines, utilizing lower level libraries for performance optimization is a plus.
  • Nice to have: Experience with cloud computing platforms such as Google Cloud (preferred), AWS, or Azure would be advantageous.
  • Experience with Redis or similar.
Seniority Level

Mid-Senior level

Employment Type

Full-time

Job Function

Engineering and Information Technology

Industries

Hospitals and Health Care

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