Job Description
Shape the Future of Intelligence. We are Nebula Innovations, a pioneer in next-generation computing. As we accelerate towards our 2026 roadmap, we are seeking a visionary Senior AI & Machine Learning Engineer to architect the algorithms that will define the next era of human-machine interaction.
In this role, you won't just maintain existing systems; you will build the core infrastructure for our proprietary Agentic AI platform. You will work in a high-performance environment where cutting-edge research meets scalable production deployment. If you are passionate about solving complex problems and want to leave a lasting impact on the technology of tomorrow, we want to hear from you.
Why Join Us?
- Work on projects that are future-proofing our infrastructure for 2026 and beyond.
- Competitive compensation package including equity and performance bonuses.
- Flexible remote-first culture with access to state-of-the-art equipment.
Responsibilities
- Design, train, and deploy scalable Machine Learning models and AI agents focused on autonomy and reasoning.
- Optimize deep learning pipelines to ensure low-latency inference in high-throughput environments.
- Collaborate with cross-functional teams of data scientists, product managers, and engineers to define technical requirements.
- Research and prototype novel algorithms to stay ahead of emerging industry trends (e.g., Multimodal AI, Generative AI).
- Mentor junior engineers and conduct code reviews to maintain high engineering standards.
- Implement robust CI/CD pipelines to automate model training and deployment cycles.
Qualifications
- Master’s or PhD degree in Computer Science, Mathematics, or a related technical field.
- 5+ years of professional experience in Machine Learning, Deep Learning, or AI Engineering.
- Expert proficiency in Python, PyTorch, or TensorFlow.
- Strong experience with Large Language Models (LLMs), Transformers, and NLP techniques.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Proven track record of taking models from research prototypes to production-ready software.
- Excellent problem-solving skills and ability to communicate complex technical concepts to non-technical stakeholders.