Machine Learning Engineer

Discovered MENA • Emea
Visa Sponsorship Relocation
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AI Summary

Join us to be a key player in shaping and delivering state-of-the-art AI solutions that are transforming industries and making a significant impact. Analyze large, complex datasets to derive actionable insights that drive data-based decisions. Develop, train, and deploy predictive models to elevate the performance of our AI solutions.

Key Highlights
Analyze large, complex datasets to derive actionable insights
Develop, train, and deploy predictive models
Apply cutting-edge AI technologies to real-world business scenarios
Key Responsibilities
Analyze large, complex datasets to derive actionable insights that drive data-based decisions
Develop, train, and deploy predictive models to elevate the performance of our AI solutions
Apply cutting-edge AI technologies, such as Large Language Models (LLMs) or Retrieval-Augmented Generation (RAG), to real-world business scenarios
Collaborate with cross-functional teams to understand business goals and translate them into data science tasks
Continuously evaluate and optimize models based on performance and evolving business requirements
Design and maintain robust data preprocessing pipelines to ensure the quality and consistency of input data
Stay updated on the latest trends and advancements in machine learning and data science to improve model accuracy
Effectively communicate findings and insights to both technical and non-technical stakeholders
Technical Skills Required
Python Machine Learning Large Language Models (LLMs)
Benefits & Perks
Relocation package provided
Full-time employment
Nice to Have
Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch, Langchain, Weaviate, Langgraph, LlamaIndex)
A proven track record of applying data science to solve real-world challenges
Excellent communication and collaboration skills, with the ability to work across teams effectively

Job Description


*This role requires full relocation to Abu Dhabi*



Job Description:

Are you an experienced machine learning engineer with a passion for AI? Do you have a proven history of leveraging data to build algorithms and models that uncover valuable insights? Join us to be a key player in shaping and delivering state-of-the-art AI solutions that are transforming industries and making a significant impact.



What You'll Do

  • Analyze large, complex datasets to derive actionable insights that drive data-based decisions
  • Develop, train, and deploy predictive models to elevate the performance of our AI solutions
  • Apply cutting-edge AI technologies, such as Large Language Models (LLMs) or Retrieval-Augmented Generation (RAG), to real-world business scenarios.
  • Collaborate with cross-functional teams to understand business goals and translate them into data science tasks.
  • Continuously evaluate and optimize models based on performance and evolving business requirements.
  • Design and maintain robust data preprocessing pipelines to ensure the quality and consistency of input data.
  • Stay updated on the latest trends and advancements in machine learning and data science to improve model accuracy.
  • Effectively communicate findings and insights to both technical and non-technical stakeholders.


What You'll Bring:

  • 5+ years of experience in AI, Machine Learning, Reinforcement Learning, Data Science, or a related field.
  • Proven experience with Large Language Models (LLMs) and fine-tuning techniques.
  • Master's or Ph.D. in AI, Data Science, Statistics, Computer Science, or a related discipline.
  • Expertise in programming languages such as Python or R. Candidates with experience or awards in ACM/ICPC, NOI/IOI, Top Coder, Kaggle, or other competitive platforms are highly preferred.
  • Strong analytical skills and proficiency in statistical modeling
  • Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch, Langchain, Weaviate, Langgraph, LlamaIndex).
  • A proven track record of applying data science to solve real-world challenges.
  • Excellent communication and collaboration skills, with the ability to work across teams effectively.

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