Job Description
We are seeking a visionary Senior AI Engineer to join our elite research and development team. Nexus Future Labs is at the forefront of generative AI and large language model (LLM) innovation. In this role, you will architect, develop, and deploy scalable machine learning solutions that drive our core products forward.
You will collaborate with cross-functional teams of data scientists, engineers, and product managers to solve complex problems and push the boundaries of artificial intelligence. If you are passionate about building the future of AI and want to work in a dynamic, high-performance environment, we want to hear from you.
Responsibilities
- Design, develop, and optimize advanced machine learning models and algorithms, with a focus on Natural Language Processing (NLP) and Deep Learning.
- Build and maintain scalable AI infrastructure using modern cloud platforms (AWS, GCP, or Azure).
- Collaborate with data engineering teams to prepare high-quality datasets for model training and fine-tuning.
- Deploy models to production environments, ensuring high availability, low latency, and robust error handling.
- Mentor junior engineers and conduct code reviews to maintain high technical standards across the team.
- Stay abreast of the latest research in the AI field and implement cutting-edge techniques into our production stack.
Qualifications
- Master’s degree or Ph.D. in Computer Science, Mathematics, or a related field, or equivalent practical experience.
- 5+ years of professional experience in software engineering, with at least 3 years specifically focused on Machine Learning or AI.
- Strong proficiency in Python and deep understanding of data structures and algorithms.
- Extensive experience with deep learning frameworks such as PyTorch, TensorFlow, or JAX.
- Experience with MLOps tools and practices, including Docker, Kubernetes, and model versioning.
- Proven track record of deploying large-scale models to production and optimizing inference performance.