Job Description
Join Nexus Horizon AI, a leading pioneer in next-generation artificial intelligence solutions. We are seeking a visionary Senior AI/ML Engineer to architect the models that will define the future of intelligent automation. In this role, you will bridge the gap between theoretical research and scalable production systems, working on cutting-edge Large Language Models (LLMs) and Generative AI frameworks.
Our mission is to democratize advanced AI, making it accessible, ethical, and impactful across industries. You will be part of a high-performance team dedicated to pushing the boundaries of what is possible in machine learning.
Responsibilities
- Model Development: Design, train, and fine-tune state-of-the-art deep learning models, including Transformers and diffusion models.
- Infrastructure: Build and optimize MLOps pipelines to ensure reproducibility, scalability, and reliability of AI deployments.
- Research: Stay at the forefront of academic research, implementing novel techniques such as Reinforcement Learning from Human Feedback (RLHF) and self-supervised learning.
- Collaboration: Partner with product managers and data scientists to translate complex business requirements into technical AI solutions.
- Ethics & Compliance: Ensure AI systems are fair, transparent, and adhere to emerging regulatory standards for AI safety.
- Code Quality: Mentor junior engineers, conduct code reviews, and establish best practices for AI engineering.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Machine Learning, Mathematics, or a related technical field.
- Experience: 5+ years of professional experience in machine learning, deep learning, or AI research.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX. Strong knowledge of distributed computing and GPU acceleration (CUDA).
- Data Handling: Extensive experience with big data technologies (Spark, Hadoop) and data preprocessing pipelines.
- Communication: Exceptional ability to communicate complex technical concepts to both technical and non-technical stakeholders.
- Problem Solving: Demonstrated ability to troubleshoot complex system failures and optimize model inference latency.