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Home/Jobs/Machine Learning Engineer - Construction
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AI71

Machine Learning Engineer - Construction

🇦🇪 Abu Dhabi, UAE🏢 On-site
Machine LearningLLMsRAGPythonFastAPIFlaskStreamlitTensorFlow
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AI71

About AI71:

AI71 is an industry leader in artificial intelligence, delivering innovative solutions that empower developers, businesses and governments to solve complex challenges. AI71 builds secure, enterprise-ready applications powered by cutting-edge technology—tailored for knowledge workers and sector-specific needs. AI71 bridges the gap between advanced AI and real-world impact. Guided by a strong commitment to research and responsibility, we create transformative solutions that drive progress and empower communities.

The Role:

As a Machine Learning Engineer at AI71, you’ll be responsible for developing, deploying, and optimizing machine learning models and systems that power our AI solutions. You will collaborate with cross-functional teams to translate business challenges into impactful AI products.

What You'll Do:

• 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.

What You'll Bring:

• Master’s or Ph.D. in AI, Data Science, Computer Science, Statistics, or a related field.

• 5+ years of experience in AI, Machine Learning, Reinforcement Learning (RL), Data Science, or a related field.

• Proven experience with Large Language Models (LLMs) and parameter-efficient fine-tuning methods (LoRA, QLoRA, etc.) techniques.

• Strong proficiency in programming languages like Python. Preference for candidates with a competitive coding background (e.g., ACM/ICPC, NOI/IOI, Top Coder, Kaggle).

• Experience in building and deploying LLM-powered applications using FastAPI/ Flask and Streamlit for front-end interfaces, solid understanding of REST principles, HTTP Methods, websockets and API lifecycle management;

• Expertise in machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch) and libraries like Langchain, Langgraph, LlamaIndex.

• Experience with SQL, NoSQL (PostgreSQL, MySQL, MongoDB, Redis) and vector databases (Pinecone, Weaviate, pgvector) for structured data storage and semantic search.

• 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.

• Strong communication, stakeholder management, and decision-making skills, with a passion for building diverse, inclusive engineering teams.

Why AI71:

• Mission-Driven Work: Work on cutting-edge AI applications with a talented and passionate team, solving real-world challenges in critical sectors.

• Unparalleled Opportunity: This is a chance to innovate and solve real-world challenges using AI at a company with unique access to world-leading models and resources.

• Career Growth: We offer competitive compensation, benefits, and significant career growth opportunities as a foundational member of the team.

• World-Class Environment: Enjoy a flexible working environment and the latest tools & technologies needed to do your best work.

Requirements

  • •Master’s or Ph.D. in AI, Data Science, Computer Science, Statistics, or a related field
  • •5+ years of experience in AI, Machine Learning, Reinforcement Learning (RL), Data Science, or a related field
  • •Proven experience with Large Language Models (LLMs) and parameter-efficient fine-tuning methods
  • •Strong proficiency in Python
  • •Experience in building and deploying LLM-powered applications using FastAPI/Flask and Streamlit
  • •Expertise in machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch)
  • •Experience with SQL, NoSQL, and vector databases
  • •Demonstrated success in applying data science and machine learning to solve real-world problems

Nice to Have

  • •Competitive coding background (e.g., ACM/ICPC, NOI/IOI, Top Coder, Kaggle)

Responsibilities

  • •Develop, train, and deploy predictive models
  • •Work with state-of-the-art AI techniques, including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG)
  • •Collaborate with cross-functional teams to translate business challenges into actionable machine learning tasks
  • •Continuously monitor, evaluate, and improve models
  • •Implement and manage robust data preprocessing pipelines

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