Job Description
The Opportunity: Nexus Horizon is pioneering the next generation of artificial intelligence solutions. We are seeking a visionary Senior AI/ML Engineer to join our elite team in San Francisco. In this role, you will architect scalable machine learning models and deploy intelligent systems that redefine user experiences. If you are passionate about the intersection of data science and real-world impact, we want to hear from you.
Why Join Us?
- Work with cutting-edge technology in a forward-thinking environment.
- Competitive salary and equity package.
- Flexible remote and hybrid work options.
- Professional development and continuous learning opportunities.
Your Impact:
- Design, train, and deploy state-of-the-art machine learning models.
- Collaborate with cross-functional teams to integrate AI into product features.
- Optimize models for production environments, ensuring high performance and low latency.
- Conduct research to explore novel algorithms and architectures.
- Mentor junior engineers and foster a culture of technical excellence.
Responsibilities
- Lead the end-to-end lifecycle of machine learning projects, from data ingestion to model deployment.
- Implement robust MLOps pipelines to ensure continuous integration and delivery of models.
- Analyze complex datasets to derive actionable insights and drive business strategy.
- Stay abreast of the latest advancements in AI research and apply them to our products.
- Ensure model fairness, transparency, and ethical usage in all implementations.
- Provide technical leadership and architectural guidance to the engineering team.
Qualifications
- Master’s or Ph.D. in Computer Science, Machine Learning, or a related field.
- Minimum of 5 years of professional experience in AI/ML engineering.
- Strong proficiency in Python, PyTorch, or TensorFlow.
- Proven experience with cloud platforms (AWS, GCP, or Azure).
- Deep understanding of NLP, Computer Vision, or Reinforcement Learning.
- Excellent problem-solving skills and ability to work in a fast-paced startup environment.
- Strong communication skills and the ability to translate technical concepts to non-technical stakeholders.