Job Description
Join Nexus Horizon AI as we embark on a mission to define the technological landscape leading up to 2026. We are seeking a visionary Head of AI Engineering to architect the next generation of artificial intelligence systems that will revolutionize how industries operate.
In this pivotal role, you will not only lead a world-class engineering team but also set the strategic direction for our AI roadmap. You will be responsible for building scalable, robust, and ethically sound AI solutions that are ready for the enterprise of tomorrow.
If you are passionate about the future of AI and want to leave a lasting legacy in the tech industry, we want to hear from you.
Responsibilities
- Define the AI Vision: Lead the technical strategy and roadmap for AI initiatives, specifically targeting breakthroughs relevant to the 2026 technological landscape.
- Team Leadership: Recruit, mentor, and inspire a high-performing team of Data Scientists, ML Engineers, and AI Researchers.
- Architecture & Development: Design and implement scalable machine learning architectures and pipelines using state-of-the-art frameworks.
- Product Integration: Collaborate closely with product managers and engineering teams to integrate AI capabilities into our core products seamlessly.
- Research & Innovation: Stay ahead of industry trends, experiment with emerging technologies (e.g., Generative AI, LLMs), and drive innovation.
- Performance Optimization: Ensure models are optimized for speed, accuracy, and cost-effectiveness in production environments.
Qualifications
- Experience: 10+ years of experience in software engineering, with at least 5 years in a leadership role within AI/ML.
- Technical Expertise: Deep proficiency in Python, PyTorch, TensorFlow, and SQL.
- AI Mastery: Strong understanding of Deep Learning, Natural Language Processing (NLP), and Computer Vision.
- Cloud Experience: Proven track record deploying models on cloud platforms (AWS, GCP, or Azure).
- Leadership Skills: Demonstrated ability to lead cross-functional teams and drive complex technical projects to completion.
- Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related field.