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BlackStone eIT

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AI Team Lead

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
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What this application asks

workable

First name, Last name, Email, Phone, Education, Experience, Summary, Resume, Cover letter

  • Experience: 6+ years of hands-on experience in Machine Learning, Deep Learning, or AI Engineering. yes / no
  • 3+ years of experience in a technical leadership or mentoring role. yes / no
  • Programming & Frameworks: Expert-level proficiency in Python and deep learning frameworks (PyTorch is strongly preferred, or TensorFlow). yes / no
  • 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). yes / no
  • 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. yes / no
  • CV Expertise: Strong mathematical foundation in image processing and experience building custom models using OpenCV, YOLO architectures, and PyTorch Vision. yes / no
  • MLOps: Proven ability to build CI/CD pipelines for machine learning models, manage model registries, and monitor model drift in production. yes / no
  • Experience with building and deploying Autonomous AI Agents (e.g., using Langchain,langgraph,Crew ai ). yes / no
  • Background in edge deployment for Computer Vision models (TensorRT, ONNX). yes / no
  • What is your current salary USD ? written answer
  • What is your expected salary in USD?
  • What is your notice period ?
  • How many solutions did you deploy and what is your type of contribution and how many users/customers are using these solutions concurrent and sequential ? written answer
  • Did you build deep learning pipelines/Models from scratch before and deployed it into production ? written answer
  • Did you work on edge AI before ? written answer

See also

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