Customer Success Manager

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🏢 BlackStone eIT 📁 Ai 🎯 Senior level

Job Description

BlackStone eIT is seeking an experienced and visionary AI Team Lead to oversee and guide our artificial intelligence initiatives. As the AI Team Lead, you will be responsible for leading a team of AI engineers and data scientists to develop innovative AI solutions that drive business growth and enhance user experiences. You will collaborate with cross-functional stakeholders to design and implement cutting-edge AI technologies and ensure successful project delivery.

Key Responsibilities:

Lead, mentor, and manage a team of AI engineers and data scientists
Design and develop scalable AI models and algorithms tailored to business needs
Collaborate with product managers, software developers, and business stakeholders to define AI project requirements
Ensure rigorous testing, validation, and deployment of AI solutions
Stay current with the latest advancements in AI, machine learning, and data science technologies
Establish best practices and standards for AI development within the team
Identify opportunities for AI integration to improve products and services

Requirements

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field
At least 8 years of experience in AI, machine learning, or data science roles
Proven leadership experience managing technical teams
Strong proficiency in programming languages such as Python, R, or Java
Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn
Solid understanding of data processing, feature engineering, and statistical modeling
Familiarity with cloud platforms (AWS, Azure, or Google Cloud) for AI deployment
Excellent problem-solving, analytical, and communication skills
Ability to translate complex AI concepts into actionable business solutions

Benefits

Paid Time Off
Performance Bonus
Training & Development

Job Overview

  • Career Level: Senior level
  • Job Type: Full Time
  • Date Posted: March 27, 2026
  • Application Deadline: 27/04/2026 3:05 pm

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