Job Description
Are you ready to architect the systems of tomorrow? Nexus Horizon is seeking a visionary Senior AI/ML Architect to lead our next-generation artificial intelligence initiatives. In this role, you will define the technical roadmap for large-scale machine learning models, ensuring they are scalable, secure, and aligned with our long-term vision for 2026 and beyond.
We are looking for a pioneer who thrives on ambiguity and has a deep understanding of the evolving AI landscape. You will work closely with cross-functional teams to integrate cutting-edge technologies into our core products, driving innovation that impacts millions of users worldwide.
Why Join Nexus Horizon?
- Impactful Work: Build AI solutions that define the future of human-computer interaction.
- Competitive Compensation: Generous salary plus equity package.
- Flexible Environment: Hybrid work model with a focus on results.
Ready to shape the future? Apply today.
Responsibilities
- Design and implement scalable machine learning pipelines and neural network architectures for production environments.
- Lead the research and development of proprietary AI models, focusing on LLMs, NLP, and predictive analytics.
- Mentor junior engineers and data scientists, fostering a culture of technical excellence and innovation.
- Collaborate with product managers and stakeholders to translate business requirements into technical specifications.
- Ensure data privacy, security, and ethical standards are maintained throughout the AI lifecycle.
- Stay abreast of the latest advancements in AI research and integrate relevant breakthroughs into our technology stack.
Qualifications
- Master’s or PhD in Computer Science, Machine Learning, or a related quantitative field.
- Minimum of 5 years of professional experience in AI/ML engineering, with at least 2 years in a lead or architect role.
- Deep proficiency in Python, PyTorch, TensorFlow, and cloud platforms (AWS, GCP, or Azure).
- Proven experience deploying and optimizing large-scale deep learning models.
- Strong understanding of software engineering best practices, including CI/CD, version control, and testing.
- Excellent problem-solving skills and ability to communicate complex technical concepts to non-technical stakeholders.