Job Description
Join the Future of Intelligence
Nexus Innovations is pioneering the next generation of Artificial Intelligence solutions. We are looking for a visionary Senior AI Engineer to architect, develop, and deploy state-of-the-art machine learning models that solve complex real-world problems. If you are passionate about Generative AI, Large Language Models (LLMs), and ethical AI development, we want to hear from you.
As a key member of our R&D team, you will bridge the gap between theoretical research and scalable production systems. You will have the autonomy to experiment with cutting-edge technologies while ensuring robust, efficient, and responsible AI implementation.
Responsibilities
- Model Development: Design, train, and fine-tune advanced AI models, specifically focusing on LLMs and NLP applications.
- System Architecture: Build scalable data pipelines and infrastructure to support high-volume inference and training workloads.
- Research & Innovation: Stay at the forefront of AI research, implementing novel algorithms and contributing to internal technical documentation.
- Collaboration: Partner with product managers, data scientists, and engineering teams to define AI requirements and deliver high-impact features.
- Optimization: Continuously monitor, evaluate, and optimize model performance for speed, accuracy, and cost-efficiency.
- Mentorship: Guide junior engineers and data scientists, fostering a culture of technical excellence and continuous learning.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, Statistics, or a related technical field.
- Experience: 5+ years of professional experience in AI/ML engineering, with a strong portfolio of deployed machine learning models.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX. Deep understanding of deep learning architectures.
- LLM Expertise: Experience working with GPT, BERT, or similar transformer models, including RAG (Retrieval-Augmented Generation) and fine-tuning techniques.
- Data Engineering: Strong ability to work with large datasets, SQL, and distributed computing frameworks (e.g., Spark, Hadoop).
- Communication: Excellent verbal and written communication skills with the ability to translate complex technical concepts for diverse audiences.