Job Description
We are pioneering the next generation of artificial intelligence solutions. Nexus AI Solutions is seeking a visionary Senior AI Engineer to join our elite Research and Development team. You will play a pivotal role in architecting, training, and deploying state-of-the-art machine learning models that solve complex real-world problems.
In this role, you will collaborate with a diverse team of data scientists, software engineers, and product managers to push the boundaries of what is possible in Natural Language Processing (NLP) and Computer Vision. If you are passionate about building scalable, robust AI systems and want to shape the future of technology, we want to hear from you.
Responsibilities
- Model Architecture: Design and implement novel deep learning architectures and algorithms tailored to specific business requirements.
- Training & Fine-tuning: Lead the end-to-end training process for large language models (LLMs) and generative AI models using PyTorch and TensorFlow.
- Deployment: Deploy models to production environments using containerization technologies (Docker, Kubernetes) and MLOps pipelines.
- Performance Optimization: Optimize model inference speed and accuracy, ensuring high availability and low latency.
- Research: Stay abreast of the latest academic research and industry trends to integrate cutting-edge techniques into our product suite.
- Code Review: Conduct rigorous code reviews and mentor junior engineers to maintain high code quality standards.
Qualifications
- Education: Master’s or PhD degree in Computer Science, Mathematics, Statistics, or a related field.
- Experience: 5+ years of professional experience in software engineering or data science, with a focus on machine learning.
- Technical Skills: Proficiency in Python, C++, and experience with deep learning frameworks (PyTorch, TensorFlow, JAX).
- Modeling: Strong understanding of NLP, Transformers, or Computer Vision architectures.
- Tools: Experience with MLOps tools (MLflow, Kubeflow), cloud platforms (AWS, GCP), and version control (Git).
- Communication: Excellent written and verbal communication skills, with the ability to translate technical concepts for non-technical stakeholders.