Job Description
Are you ready to architect the future of intelligence? Nexus Future Systems is seeking a visionary Senior AI/ML Engineer to spearhead our next-generation Agentic AI initiatives. We are building the scalable infrastructure that will define human-computer interaction in 2026 and beyond.
In this high-impact role, you won't just maintain models; you will revolutionize how machines reason, learn, and collaborate. You will work on cutting-edge LLMs, multimodal agents, and autonomous systems designed to solve complex global challenges.
Why Join Nexus?
- Work on mission-critical technology that shapes the future.
- Competitive compensation package with equity options.
- Flexible remote-first culture with a hub in San Francisco.
Responsibilities
- Model Architecture: Design, train, and optimize large-scale machine learning models, focusing on Generative AI and LLMs.
- System Optimization: Implement efficient inference pipelines and reduce latency for real-time applications.
- Research Integration: Stay at the forefront of AI research (e.g., Transformers, Diffusion Models) and integrate novel techniques into production.
- MLOps & Deployment: Build robust CI/CD pipelines for model training and deployment using Kubernetes and cloud-native technologies.
- Team Leadership: Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Data Strategy: Collaborate with data engineering teams to curate high-quality datasets for fine-tuning and training.
Qualifications
- Experience: 5+ years of professional experience in AI/ML, with at least 2 years leading complex model deployment projects.
- Technical Skills: Deep proficiency in Python, PyTorch, or TensorFlow.
- Domain Knowledge: Strong understanding of Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.
- Tools: Experience with MLOps platforms (e.g., MLflow, SageMaker), Docker, Kubernetes, and SQL/NoSQL databases.
- Education: Bachelor’s or Master’s degree in Computer Science, Statistics, or a related field.
- Problem Solving: Exceptional ability to debug complex system failures and optimize computational resources.