Job Description
Are you ready to engineer the future? We are looking for a visionary Senior Machine Learning Engineer to join our elite team at Nebula Horizon, a leader in predictive analytics and AI infrastructure for the year 2026.
In this role, you won't just maintain systems; you will architect the core intelligence of our next-generation platform. We are building the foundational technology that will define the tech landscape of the coming decade. If you are passionate about pushing the boundaries of what is possible with AI and want to leave a lasting legacy in the industry, we want to meet you.
Why You Belong Here:
- Work on cutting-edge projects that shape the future of technology.
- Competitive base salary and equity package.
- Top-tier health, dental, and vision insurance.
- Flexible remote and hybrid work environment.
- Annual professional development stipend.
Responsibilities
- Architect and deploy scalable Machine Learning models designed for high-throughput, low-latency environments.
- Lead the research and development of proprietary algorithms focused on predictive trend analysis and generative AI.
- Mentor junior engineers and foster a culture of technical excellence, innovation, and code quality.
- Collaborate closely with product managers and data scientists to integrate AI solutions into production workflows.
- Optimize existing data pipelines and infrastructure for maximum efficiency and accuracy.
- Ensure the ethical use of AI and compliance with industry standards.
Qualifications
- Master’s or PhD in Computer Science, Statistics, Mathematics, or a related field (preferred).
- 5+ years of professional experience in Machine Learning and Deep Learning engineering.
- Expert proficiency in Python, PyTorch, and TensorFlow.
- Strong experience with MLOps tools (Kubernetes, Docker, MLflow, Airflow).
- Deep understanding of Large Language Models (LLMs) and Transformer architectures.
- Experience with cloud platforms (AWS, GCP, or Azure) is highly preferred.