Job Description
About Nexus AI Solutions
We are pioneering the next generation of artificial intelligence to solve complex global challenges. Our mission is to build safe, scalable, and ethical AI systems that empower businesses and improve lives. We are looking for a visionary Senior AI/ML Engineer to join our elite engineering team in San Francisco.
The Role
In this pivotal role, you will lead the architecture and development of state-of-the-art machine learning models. You will work at the intersection of research and production, transforming theoretical breakthroughs into robust, real-world applications. If you are passionate about pushing the boundaries of what's possible with AI, we want to hear from you.
Why Join Us?
• Competitive compensation package including equity.
• Flexible remote-first policy with a hub in San Francisco.
• Access to cutting-edge hardware and cloud resources.
• Continuous learning opportunities and career growth.
Responsibilities
- Design, implement, and deploy scalable machine learning models and algorithms using Python, TensorFlow, and PyTorch.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to define AI requirements and solutions.
- Optimize model performance, accuracy, and inference speed for production environments.
- Conduct rigorous testing, validation, and debugging of AI systems to ensure reliability and security.
- Stay abreast of the latest advancements in AI research and integrate relevant techniques into our tech stack.
- Mentor junior engineers and contribute to a culture of technical excellence and innovation.
Qualifications
- Master’s or PhD in Computer Science, Mathematics, Statistics, or a related technical field.
- Minimum of 5+ years of experience in machine learning, deep learning, or natural language processing.
- Strong proficiency in Python, SQL, and experience with major ML frameworks.
- Proven track record of deploying models to cloud environments (AWS, GCP, or Azure).
- Deep understanding of data structures, algorithms, and software engineering best practices.
- Excellent communication skills and ability to translate technical concepts for non-technical stakeholders.