# AI Team Lead

**Company:** [BlackStone eIT](http://jobs.workable.com/companies/tibAGcW55dzHFist5SpD3s.md)
**Location:** Remote
**Workplace:** remote
**Employment type:** Full-time
**Department:** Egypt Technical Team

[Apply for this job](http://jobs.workable.com/view/9d8550c4-d5d0-42bb-99e9-a7da4baa2d3c)

## Description

BlackStone eIT is actively looking for a dedicated AI Team Lead to spearhead our Artificial Intelligence initiatives. This role involves leading a talented team of AI professionals to create innovative AI-driven solutions that align with the company's vision. You will play a crucial part in strategizing, developing, and deploying AI technologies that enhance our products and services while maintaining the highest standards of excellence.

### Responsibilities:

-   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