Job Description
We are building the future of intelligent systems. Nebula Dynamics is seeking a visionary Lead AI Engineer to architect the next generation of generative AI and machine learning infrastructure. If you thrive in high-velocity environments and want to define the trajectory of technology for the next decade, this is your opportunity.
In this role, you will be at the forefront of innovation, working with state-of-the-art hardware and algorithms to solve complex problems at scale. You will lead a world-class team of data scientists and engineers, ensuring our models are not only powerful but also ethical, scalable, and secure.
Responsibilities
- Architectural Leadership: Design and implement scalable machine learning pipelines and large language model (LLM) architectures from the ground up.
- Model Development: Spearhead the research, training, and fine-tuning of proprietary AI models to drive product innovation.
- System Optimization: Oversee the deployment of models into production environments (AWS/GCP) ensuring high availability, low latency, and cost efficiency.
- Team Mentorship: Guide a diverse team of engineers and data scientists, fostering a culture of technical excellence and continuous learning.
- Strategic Collaboration: Partner with product and engineering stakeholders to translate complex business requirements into robust technical solutions.
- R&D: Stay ahead of industry trends in AI, including Transformer models, reinforcement learning, and multimodal AI.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, Statistics, or a related field.
- Experience: 5+ years of professional experience in machine learning engineering, with at least 2 years in a leadership or senior architect role.
- Technical Stack: Deep expertise in Python, PyTorch, TensorFlow, and Scikit-learn.
- Infrastructure: Proven experience deploying models to cloud environments using Docker, Kubernetes, and AWS/Azure/GCP.
- Soft Skills: Exceptional communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
- Problem Solving: Demonstrated ability to debug complex system issues and optimize performance under heavy loads.