Job Description
Are you ready to architect the intelligence of tomorrow?
Nexus 2026 Systems is seeking a visionary Senior AI Engineer to lead our next-generation Generative AI initiatives. We are building the core infrastructure for the future of human-computer interaction, and we need a technical expert who thrives on complexity and innovation.
In this role, you will not just write code; you will define the roadmap for the next era of AI applications. You will work with cutting-edge Large Language Models (LLMs) and neural architectures to solve problems that were previously thought impossible.
Why join Nexus 2026?
- Work on groundbreaking projects that shape the future.
- Competitive compensation package and equity options.
- Flexible remote-first culture with premium benefits.
Responsibilities
- Model Development: Design, train, and fine-tune large-scale transformer models and Generative AI architectures to meet specific business objectives.
- Pipeline Architecture: Build scalable, high-throughput data pipelines for training and inference using Python, Apache Spark, and cloud-native services.
- MLOps Implementation: Establish robust CI/CD pipelines for machine learning models, ensuring automated deployment, monitoring, and retraining.
- Optimization: Optimize model inference performance for edge devices and cloud environments to reduce latency and cost.
- Cross-Functional Collaboration: Partner with product managers and data scientists to translate complex AI concepts into practical, user-facing features.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, Statistics, or a related quantitative field (or equivalent industry experience).
- Experience: 5+ years of professional experience in Machine Learning and Deep Learning, with a focus on NLP or Computer Vision.
- Programming: Strong proficiency in Python, PyTorch, or TensorFlow.
- Tools: Experience with MLOps tools (MLflow, Kubeflow), vector databases (Pinecone, Milvus), and cloud platforms (AWS, GCP, or Azure).
- Problem Solving: Proven ability to tackle complex algorithmic challenges and debug distributed systems.