AI Team Lead

BlackStone eIT

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.

• 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).

• Paid Time Off
• Performance Bonus
• Training & Development