Job Description
Are you ready to shape the future of Generative AI? Horizon AI Labs is seeking a visionary Senior AI Engineer to lead our next-generation model development initiatives. We are building the infrastructure that will define the landscape of Artificial Intelligence in the coming decade. If you thrive in fast-paced environments and are passionate about pushing the boundaries of what's possible with Large Language Models (LLMs) and Neural Networks, we want to meet you.
Why Join Us?
- Work on high-impact projects that scale globally.
- Competitive compensation package and equity opportunities.
- State-of-the-art equipment and a collaborative culture.
Key Responsibilities:
- Architect and deploy scalable machine learning models for high-traffic production environments.
- Collaborate with cross-functional teams to fine-tune and optimize Large Language Models (LLMs).
- Design and implement robust MLOps pipelines for model training, deployment, and monitoring.
- Conduct research on cutting-edge AI architectures, optimization techniques, and efficiency.
- Provide technical leadership and mentorship to junior engineers and data scientists.
- Ensure code quality, security, and adherence to industry best practices.
Qualifications:
- Master’s degree or PhD in Computer Science, Data Science, or a related technical field.
- 5+ years of professional experience in Machine Learning Engineering, Applied AI, or a similar role.
- Expert proficiency in Python, PyTorch, or TensorFlow.
- Strong understanding of distributed systems, cloud computing platforms (AWS/GCP/Azure), and containerization (Docker/Kubernetes).
- Experience with data engineering, feature engineering, and vector databases.
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.
Responsibilities
- Architect and deploy scalable machine learning models for high-traffic production environments.
- Collaborate with cross-functional teams to fine-tune and optimize Large Language Models (LLMs).
- Design and implement robust MLOps pipelines for model training, deployment, and monitoring.
- Conduct research on cutting-edge AI architectures, optimization techniques, and efficiency.
- Provide technical leadership and mentorship to junior engineers and data scientists.
- Ensure code quality, security, and adherence to industry best practices.
Qualifications
- Master’s degree or PhD in Computer Science, Data Science, or a related technical field.
- 5+ years of professional experience in Machine Learning Engineering, Applied AI, or a similar role.
- Expert proficiency in Python, PyTorch, or TensorFlow.
- Strong understanding of distributed systems, cloud computing platforms (AWS/GCP/Azure), and containerization (Docker/Kubernetes).
- Experience with data engineering, feature engineering, and vector databases.
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.