Job Description
Are you ready to architect the future of intelligent systems? Nexus Horizon Systems is seeking a visionary Senior AI/ML Engineer to join our elite team in San Francisco. We are building the foundational technologies for the 2026 era of autonomous agents and next-generation Generative AI.
In this role, you will move beyond current standard models to build scalable, ethical, and high-performance AI infrastructure. You will work at the intersection of Deep Learning, MLOps, and Real-time Data Processing to deliver solutions that define the technological landscape of tomorrow.
Why Join Us?
- Work on cutting-edge projects that shape the future of enterprise AI.
- Competitive compensation package and equity options.
- Flexible remote-first policy with a vibrant SF office culture.
Responsibilities
- Architect and deploy scalable machine learning pipelines using Python, PyTorch, and TensorFlow.
- Lead the development and fine-tuning of Large Language Models (LLMs) tailored for enterprise-specific use cases.
- Optimize model inference latency and reduce computational costs through quantization and pruning techniques.
- Implement robust MLOps workflows using Kubernetes and AWS SageMaker for continuous integration/deployment.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate business requirements into technical solutions.
- Ensure data privacy, security, and ethical AI compliance in all model training and deployment processes.
Qualifications
- Master’s degree or PhD in Computer Science, AI, Mathematics, or a related technical field.
- Minimum of 5 years of professional experience in Machine Learning Engineering.
- Deep expertise in training, fine-tuning, and deploying state-of-the-art neural networks.
- Strong proficiency in Python, SQL, and cloud platforms (AWS, GCP, or Azure).
- Experience with vector databases and semantic search technologies (e.g., Pinecone, Milvus).
- Proven track record of improving model accuracy and performance in production environments.