VP of AI & ML Engineering

The Vice President of AI & ML Engineering is responsible for leading the development and implementation of cutting-edge artificial intelligence and machine learning solutions. This role involves guiding the AI & ML engineering team to drive innovation and operational excellence in AI technologies, ensuring alignment with the organization's strategic goals.

VP of AI & ML Engineering job description template

We're seeking a visionary leader with profound expertise in AI and ML to join our team as the VP of AI & ML Engineering. This role requires a dynamic individual capable of leading and inspiring a team of talented engineers to create innovative, AI-powered solutions that address complex business challenges.

Key responsibilities

  • Lead the design, development, and deployment of scalable AI and ML models that solve critical business problems

  • Define and execute the strategic direction for AI and ML initiatives in alignment with the company's overall goals

  • Collaborate with stakeholders including data scientists, product managers, and software engineers to integrate AI solutions into products and services

  • Recruit, mentor, and develop a high-performing team of AI and ML engineers

  • Stay ahead of industry trends and advancements in AI and ML technologies to ensure continuous innovation and competitiveness

  • Ensure the ethical use of AI technologies and promote best practices for data privacy and security

Requirements and skills

  • 10+ years of experience in AI, machine learning, or a related field with at least 5 years in a leadership role

  • Proven track record of developing and implementing AI solutions that drive business results

  • Deep understanding of machine learning algorithms, neural networks, and deep learning techniques

  • Experience with big data platforms and tools such as Hadoop, Spark, and TensorFlow

  • Exceptional leadership and communication skills with the ability to influence and engage stakeholders at all levels

  • Advanced degree in Computer Science, Engineering, or a related field is highly preferred

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