Senior Data Engineer in AI Development

Harness your data engineering expertise at Quantum Black, AI by McKinsey as a Senior Data Engineer. Focus on designing cutting-edge AI architectures and driving innovations in data solutions.

You will be responsible for managing technical workflows, mentoring peers, and implementing scalable data solutions.

Your role will involve leading the integration of machine learning capabilities, ensuring data security, and enhancing client experiences through innovative partnerships. This position demands proficiency in key technologies like Python, SQL, and advanced AI frameworks.

Key Responsibilities:

• Lead development of scalable data pipelines for AI systems

• Mentor junior team members and oversee technical initiatives

• Implement robust data security and governance measures

• Drive machine learning integration and model management

• Collaborate with clients on complex data-driven challenges

Requirements:

• Bachelor’s degree in a technical field or equivalent

• 5+ years in data engineering with leadership experience

• Expertise in Python, SQL, and AI frameworks

• Familiarity with MLOps methodologies and security measures

• Strong communication skills in English and local languages

Shape the future of AI by leveraging your data engineering skills in an impactful role.
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