Job Description
Are you ready to shape the future of intelligent systems?
Nexus Future Tech is at the forefront of the Artificial Intelligence revolution. We are looking for a visionary AI/ML Engineer to join our elite engineering team in San Francisco. In this role, you will design, train, and deploy state-of-the-art machine learning models that drive our next-generation products.
We offer a competitive compensation package, comprehensive benefits, and a collaborative environment where innovation thrives. If you are passionate about pushing the boundaries of what AI can achieve, we want to hear from you.
Responsibilities
- Model Development: Design, develop, and deploy end-to-end machine learning models and deep learning algorithms.
- System Optimization: Optimize existing models for speed, scalability, and accuracy to meet production-grade standards.
- Data Pipeline Management: Collaborate with data engineers to build robust data pipelines and ensure high-quality data ingestion.
- Research & Innovation: Stay abreast of the latest advancements in AI research and integrate cutting-edge techniques into our product suite.
- Deployment: Manage the deployment of models to cloud infrastructure (AWS/Azure) using containerization technologies.
- Documentation: Create detailed technical documentation and contribute to the engineering knowledge base.
Qualifications
- Education: Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, or a related field (PhD preferred).
- Technical Skills: Strong proficiency in Python, TensorFlow, PyTorch, and Scikit-learn.
- Experience: Proven experience in building and deploying large-scale machine learning systems.
- Cloud Knowledge: Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Problem Solving: Exceptional analytical and problem-solving skills with a focus on data-driven decision making.
- Communication: Excellent verbal and written communication skills to articulate complex technical concepts to non-technical stakeholders.