Job Description
Are you ready to engineer the future? Nebula Dynamics is on a mission to redefine the technological landscape of 2026. We are seeking a visionary Senior AI/ML Architect to lead our next-generation research division.
In this pivotal role, you won't just build models; you will architect the ethical and scalable systems that will drive industry disruption. We are looking for a technical leader who is obsessed with pushing the boundaries of what is possible with Generative AI and Deep Learning.
Why Join Us?
- Future-Forward Impact: Work on ground-breaking projects that set the standard for 2026 and beyond.
- Top-Tier Compensation: Competitive salary and equity package.
- Innovation-First Culture: Access to the latest hardware, compute clusters, and research grants.
Apply now to shape the future of intelligent systems.
Responsibilities
- Architect and deploy scalable Machine Learning infrastructure capable of handling petabyte-scale data streams.
- Lead the research and development of cutting-edge Generative AI models, ensuring high accuracy and ethical standards.
- Collaborate with cross-functional teams to translate complex business requirements into technical AI solutions.
- Mentor junior engineers and data scientists, fostering a culture of continuous learning and innovation.
- Optimize model latency and throughput for real-time applications in high-concurrency environments.
- Stay ahead of industry trends in AI, contributing patents and thought leadership.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- Minimum of 5+ years of professional experience in Machine Learning Engineering or AI Research.
- Deep expertise in Python, PyTorch, TensorFlow, and Hugging Face Transformers.
- Proven track record of deploying LLMs (Large Language Models) and MLOps pipelines at scale.
- Strong understanding of distributed systems, cloud architecture (AWS/GCP/Azure), and Kubernetes.
- Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.