AI Team Lead

🕒 April 15

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BlackStone eIT

WebsiteLinkedInAll Job Openings

201 - 500 employees

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

Artificial Intelligence • Enterprise • SaaS

BlackStone eIT is a global technology company specializing in transformative enterprise solutions and intelligent design. The company offers a wide range of innovative products and services, including augmented reality, blockchain, intelligent chatbots, emotion scanning, optical character recognition, robotics, facial and object recognition, and smart analytics. With a strong focus on digital innovation, BlackStone eIT provides customized solutions such as Arabic NLP engines, digital workplaces, facial attendance tracking, and schedulers. They aim to drive significant impact for forward-thinking brands through their expertise in cutting-edge technologies and exceptional user experiences. BlackStone eIT operates in various sectors, enhancing business efficiency and customer engagement worldwide.

📋 Description

• Lead the AI team in designing, developing, and implementing AI models and systems. • Collaborate with stakeholders to identify AI opportunities that drive business value. • Guide the team to effectively use machine learning frameworks and tools. • Oversee project lifecycle from research and prototyping to production deployment. • Maintain knowledge of latest trends and advancements in AI and machine learning. • Establish best practices and foster a culture of continuous improvement and innovation.

🎯 Requirements

• Experience: 6+ years of hands-on experience in Machine Learning, Deep Learning, or AI Engineering. • 3+ years of experience in a technical leadership or mentoring role. • Programming & Frameworks: Expert-level proficiency in Python and deep learning frameworks (PyTorch is strongly preferred, or TensorFlow). • Cloud Infrastructure: Extensive, hands-on experience with Microsoft Azure, specifically building training and deployment pipelines using Azure ML workspace, MLflow, and container orchestration (Docker/Kubernetes). • NLP Expertise: Deep understanding of modern NLP architectures (Transformers, BERT, GPT variants), tokenization, vector databases, and libraries like Hugging Face and Lang Chain/Lang Graph. • CV Expertise: Strong mathematical foundation in image processing and experience building custom models using OpenCV, YOLO architectures, and PyTorch Vision. • MLOps: Proven ability to build CI/CD pipelines for machine learning models, manage model registries, and monitor model drift in production. • Experience with building and deploying Autonomous AI Agents (e.g., using Langchain,langgraph,Crew ai ). • Background in edge deployment for Computer Vision models (TensorRT, ONNX).

🏖️ Benefits

• Paid Time Off • Performance Bonus • Training & Development