Job Description
Join Nexus Horizon Technologies, a pioneer in next-generation artificial intelligence, as our Senior AI/ML Engineer. We are looking for a visionary technologist to lead the development of scalable, production-ready machine learning systems that drive our core product innovation. If you are passionate about the future of AI and possess deep technical expertise, we want to hear from you.
Why Join Us?
- Work on cutting-edge Generative AI and Large Language Model (LLM) projects.
- Competitive compensation package and equity options.
- Flexible remote-first culture with a focus on work-life balance.
- Opportunity to mentor a team of talented engineers.
We are committed to building a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or veteran status.
Responsibilities
- Design, develop, and deploy scalable machine learning pipelines and models using Python and modern frameworks (PyTorch, TensorFlow).
- Optimize existing models for improved accuracy, latency, and resource efficiency in production environments.
- Collaborate closely with cross-functional product and engineering teams to translate complex business requirements into technical AI solutions.
- Conduct rigorous A/B testing, model evaluation, and performance analysis to ensure robustness.
- Stay abreast of the latest research in AI and implement state-of-the-art techniques into our architecture.
- Mentor junior engineers, conduct code reviews, and contribute to the technical roadmap.
Qualifications
- Master’s degree or PhD in Computer Science, Statistics, Mathematics, or a related field.
- Minimum of 5 years of professional experience in Machine Learning or AI engineering.
- Proficiency in Python, with deep experience in PyTorch, TensorFlow, or Scikit-learn.
- Strong understanding of MLOps practices, including CI/CD, containerization (Docker, Kubernetes), and cloud platforms (AWS, GCP, or Azure).
- Experience with Large Language Models (LLMs), RAG architectures, and prompt engineering.
- Excellent problem-solving skills and ability to thrive in a fast-paced, agile environment.