Job Description
Are you ready to define the future of intelligence? Nexus 2026 Technologies is seeking a visionary Senior AI/ML Engineer to join our elite R&D division. We are building the next generation of generative AI systems that will revolutionize enterprise automation.
As a key member of our team, you will bridge the gap between cutting-edge research and scalable production deployment. You will work on projects that push the boundaries of Large Language Models (LLMs), Computer Vision, and Reinforcement Learning.
Responsibilities
- Model Development: Design, train, and fine-tune state-of-the-art deep learning models, specifically focusing on Transformers and Generative AI architectures.
- Infrastructure & Deployment: Engineer robust MLOps pipelines using Docker, Kubernetes, and AWS/GCP to ensure models are scalable, reliable, and performant in production.
- Research & Innovation: Stay ahead of industry trends, conducting original research to implement novel techniques in natural language processing (NLP) and predictive analytics.
- Collaboration: Partner with cross-functional teams of data scientists, software engineers, and product managers to translate complex technical requirements into elegant solutions.
- Mentorship: Guide junior engineers and interns, fostering a culture of continuous learning and technical excellence within the AI department.
Qualifications
- Education: Master’s degree or Ph.D. in Computer Science, Artificial Intelligence, Mathematics, or a related technical field (or equivalent practical experience).
- Experience: 5+ years of professional experience in building and deploying machine learning systems.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX. Deep understanding of neural networks, backpropagation, and optimization algorithms.
- Specialization: Strong background in NLP, LLMs (e.g., GPT, BERT), RAG architectures, or Computer Vision.
- Tools: Experience with MLOps tools (MLflow, Kubeflow), cloud platforms (AWS/Azure), and version control (Git).
- Problem Solving: Exceptional ability to debug complex systems and optimize model inference latency.