Machine Learning Engineer
Job Description
REQUIREMENTS
- 8+ years of experience in AI, Machine Learning, Reinforcement Learning (RL), 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, Computer Science, Statistics, or a related field.
- Strong proficiency in programming languages like Python or R. Preference for candidates with a competitive coding background (e.g., ACM/ICPC, NOI/IOI, Top Coder, Kaggle).
- Expertise in machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch), Generative AI technologies, and libraries like Langchain, Weaviate, Langgraph, LlamaIndex.
- Demonstrated success in applying data science and machine learning to solve real-world, business-critical problems.
- Excellent communication and collaboration skills with the ability to work across interdisciplinary teams.
- Family Book for UAE Nationals
- Strong communication, stakeholder management, and decision-making skills, with a passion for building diverse, inclusive engineering teams.
RESPONSIBILITIES
Model Development: Develop, train, and deploy predictive models that enhance the capabilities of our AI solutions.
AI Technologies: Work with state-of-the-art AI techniques, including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG), and apply them to real-world business contexts.
Cross-Functional Collaboration: Partner with business stakeholders to understand objectives and translate them into actionable machine learning tasks.
Model Optimization: Continuously monitor, evaluate, and improve models based on real-world performance and evolving business needs.
Data Pipeline Maintenance: Implement and manage robust data preprocessing pipelines to ensure high-quality, reliable input data for model development.
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