Job Description
We are seeking a visionary Senior AI/ML Architect to lead our engineering division into the 2026 era. At Nexus Dynamics, we are building the infrastructure for tomorrow's intelligence. You will be at the forefront of developing scalable, generative AI systems that redefine industry standards.
In this role, you will bridge the gap between theoretical AI research and production-grade deployment. You will mentor a team of engineers, architect robust ML pipelines, and ensure our solutions are secure, efficient, and ready for the rapid advancements of the coming years.
Why join us?
• Competitive compensation package
• Equity participation in a high-growth unicorn
• Flexible remote-first culture
• Access to cutting-edge hardware and cloud resources
Responsibilities
- Design and implement scalable machine learning pipelines and large language model (LLM) architectures for production deployment.
- Lead the full machine learning lifecycle, from data ingestion and preprocessing to model training, evaluation, and monitoring.
- Collaborate with cross-functional teams to integrate AI solutions into core product features, enhancing user experience and operational efficiency.
- Mentor junior data scientists and engineers, fostering a culture of innovation and continuous learning within the team.
- Ensure data privacy, security compliance, and ethical AI practices across all projects.
- Research and evaluate emerging AI technologies, frameworks, and methodologies to keep our stack at the cutting edge.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related field; equivalent practical experience is a plus.
- Minimum of 5+ years of professional experience in machine learning engineering, data science, or software engineering.
- Strong proficiency in Python, PyTorch, TensorFlow, or Scikit-learn.
- Extensive experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Proven track record of deploying ML models to high-traffic environments.
- Deep understanding of NLP, Computer Vision, or Reinforcement Learning is highly desirable.
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.