Job Description
Join the Future of Intelligence. Nexus Dynamics is pioneering the next generation of autonomous systems, and we are seeking a visionary Senior AI Engineer to spearhead the development of our 2026 Product Roadmap. If you are passionate about pushing the boundaries of Generative AI and Machine Learning, we want to hear from you.
In this pivotal role, you will not just write code; you will define the architectural standards for our flagship platform. You will work in a high-performance environment where innovation is the currency, and your expertise will directly shape the technological landscape of 2026 and beyond.
Why Join Us?
- Work on cutting-edge AI infrastructure with a global impact.
- Competitive compensation package and equity opportunities.
- Flexible remote-first culture with state-of-the-art equipment.
- Opportunity to mentor a world-class team of engineers and data scientists.
Key Responsibilities:
- Lead the technical design and implementation of core machine learning models for the 2026 product suite.
- Architect scalable data pipelines capable of handling real-time, high-volume data streams.
- Collaborate closely with product leadership to translate the 2026 strategic vision into concrete technical specifications.
- Optimize model performance, latency, and accuracy for deployment in production environments.
- Establish best practices for MLOps, CI/CD, and code quality within the engineering team.
- Conduct research and POCs to evaluate emerging AI technologies relevant to our roadmap.
Qualifications:
- PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
- Minimum of 5+ years of professional experience building and deploying production-level AI/ML systems.
- Deep expertise in Python, PyTorch, TensorFlow, and Scikit-learn.
- Strong proficiency in cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Proven track record of leading technical roadmaps and mentoring junior engineers.
- Excellent problem-solving skills and the ability to thrive in a fast-paced, ambiguous startup environment.
Skills: Python, Machine Learning, Deep Learning, NLP, MLOps, TensorFlow, PyTorch, AWS, Kubernetes, Data Engineering
Category: Information Technology
Responsibilities
- Lead the technical design and implementation of core machine learning models for the 2026 product suite.
- Architect scalable data pipelines capable of handling real-time, high-volume data streams.
- Collaborate closely with product leadership to translate the 2026 strategic vision into concrete technical specifications.
- Optimize model performance, latency, and accuracy for deployment in production environments.
- Establish best practices for MLOps, CI/CD, and code quality within the engineering team.
- Conduct research and POCs to evaluate emerging AI technologies relevant to our roadmap.
Qualifications
- PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
- Minimum of 5+ years of professional experience building and deploying production-level AI/ML systems.
- Deep expertise in Python, PyTorch, TensorFlow, and Scikit-learn.
- Strong proficiency in cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Proven track record of leading technical roadmaps and mentoring junior engineers.
- Excellent problem-solving skills and the ability to thrive in a fast-paced, ambiguous startup environment.