Job Description
Are you ready to define the future of Artificial Intelligence?
Nexus Horizon Labs is on the hunt for a visionary Senior AI/ML Engineer to join our elite engineering team. As we look toward the 2026 horizon, we are building the next generation of Generative AI and Autonomous Systems. You won't just be writing code; you will be architecting the intelligence that powers the world's most transformative technologies.
In this high-impact role, you will lead the development of large-scale machine learning models, pushing the boundaries of what's possible with Natural Language Processing and Computer Vision. If you thrive in a fast-paced, innovative environment and want to solve humanity's most complex challenges, this is your opportunity.
Why Join Us?
- Impactful Work: Build systems that will be used by millions.
- Future-Proof: Work on cutting-edge 2026-ready tech stacks.
- Equity & Growth: Competitive compensation with performance-based bonuses.
Responsibilities
- Architect & Optimize: Design and implement scalable machine learning pipelines and deep learning architectures using Python, PyTorch, and TensorFlow.
- Model Development: Spearhead the research and fine-tuning of Large Language Models (LLMs) and generative adversarial networks (GANs).
- Data Strategy: Lead data ingestion, cleaning, and feature engineering processes to ensure high-quality model training.
- Cross-Functional Collaboration: Partner with product managers, data scientists, and engineers to translate business requirements into technical AI solutions.
- Ethical AI: Ensure all AI systems adhere to ethical guidelines, bias mitigation standards, and data privacy regulations (GDPR/CCPA).
- Technical Leadership: Mentor junior engineers and conduct code reviews to maintain high engineering standards.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Mathematics, Statistics, or a related field (or equivalent professional experience).
- Technical Stack: Proficiency in Python, SQL, and experience with deep learning frameworks (TensorFlow, PyTorch, Keras).
- Experience: 5+ years of professional experience in AI/ML engineering, specifically with NLP or Computer Vision.
- Algorithms: Strong understanding of statistical analysis, optimization algorithms, and neural network theory.
- Cloud: Experience deploying models on AWS, GCP, or Azure using containerization (Docker, Kubernetes).
- Communication: Excellent verbal and written communication skills, capable of explaining complex technical concepts to diverse audiences.