Job Description
Are you ready to define the AI landscape of 2026?
Nexus Horizon Labs is at the forefront of the generative AI revolution. We are looking for a visionary Senior Machine Learning Engineer to lead our next-generation model development and deployment strategies. In this role, you won't just write code; you will shape the architectural roadmap that defines our technology for years to come.
Our team is dedicated to pushing the boundaries of Large Language Models (LLMs) and multi-modal AI systems. If you thrive in a fast-paced, high-impact environment and want to work on problems that define the future of human-computer interaction, we want to meet you.
Responsibilities
- Architect and implement scalable Machine Learning pipelines using Python, PyTorch, and TensorFlow.
- Lead research initiatives focused on LLM optimization, fine-tuning, and RAG (Retrieval-Augmented Generation) architectures.
- Collaborate with cross-functional teams of product managers, designers, and researchers to translate business requirements into technical solutions.
- Mentor junior engineers and foster a culture of innovation and technical excellence within the engineering squad.
- Drive the deployment of AI models into production environments, ensuring high availability, low latency, and robust error handling.
- Stay ahead of industry trends and integrate cutting-edge advancements in AI/ML into our product stack.
Qualifications
- Master’s or Ph.D. in Computer Science, Machine Learning, or a related quantitative field (or equivalent industry experience).
- 5+ years of professional experience in software engineering and machine learning.
- Deep expertise in Python and at least one deep learning framework (PyTorch or TensorFlow).
- Proven track record of deploying ML models that have a significant impact on business metrics.
- Strong understanding of NLP, transformer architectures, and generative model principles.
- Experience with MLOps tools (Docker, Kubernetes, MLflow) and cloud platforms (AWS, GCP, or Azure).