Job Description
We are seeking a visionary Senior AI/ML Engineer to lead our groundbreaking research into Generative AI and Large Language Models (LLMs). In this pivotal role, you will shape the roadmap for our 2026 AI initiatives, building autonomous agents and multimodal systems that redefine human-machine interaction.
At Nexus Future Systems, we don't just predict the future; we engineer it. You will work with a world-class team of data scientists, engineers, and researchers to deploy scalable, state-of-the-art machine learning solutions.
Responsibilities
- Lead Model Development: Design, train, and fine-tune state-of-the-art Transformer-based models and LLMs.
- Optimization: Implement advanced optimization techniques to reduce inference costs and latency in production environments.
- MLOps Pipeline: Build and maintain robust CI/CD pipelines for machine learning, leveraging cloud infrastructure (AWS/GCP).
- Research & Innovation: Explore emerging paradigms such as Retrieval-Augmented Generation (RAG) and Agentic workflows.
- Collaboration: Partner with product teams to translate complex AI capabilities into user-friendly applications.
Qualifications
- Experience: 5+ years of professional experience in AI/ML, specifically with Deep Learning frameworks (PyTorch or TensorFlow).
- Education: Master’s degree or Ph.D. in Computer Science, Mathematics, or a related technical field.
- Tools: Proficiency in Docker, Kubernetes, and cloud-native technologies.
- Programming: Strong Python skills with experience in data manipulation (Pandas, NumPy) and SQL.
- Soft Skills: Excellent communication skills and the ability to mentor junior engineers.