Job Description
We are seeking a visionary Senior AI/ML Engineer to lead our engineering efforts in preparing our infrastructure for the technological landscape of 2026. At Nexus Future Systems, we are not just building software; we are architecting the digital foundation for the next decade. You will be at the intersection of cutting-edge research and scalable production engineering, driving the adoption of Generative AI and Large Language Models across our platform.
In this role, you will define the technical roadmap, mentor a team of talented engineers, and ensure our systems are robust, secure, and future-proof. If you are passionate about pushing the boundaries of what is possible with AI and want to work in a high-growth environment, we want to hear from you.
Responsibilities
- Design and implement scalable machine learning pipelines using Python, PyTorch, and TensorFlow.
- Collaborate with cross-functional product teams to integrate AI features that enhance user experience.
- Optimize model inference speed and accuracy to handle millions of requests daily.
- Implement MLOps strategies, including CI/CD for ML, automated retraining, and model monitoring.
- Conduct code reviews and provide technical leadership to foster a culture of continuous improvement.
- Stay ahead of industry trends to ensure our technology stack remains competitive for 2026.
Qualifications
- Master’s degree in Computer Science, Statistics, or a related technical field.
- 5+ years of experience in Machine Learning Engineering, Data Science, or a similar role.
- Deep expertise in Python, SQL, and at least one deep learning framework (PyTorch or TensorFlow).
- Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Experience with vector databases and RAG (Retrieval-Augmented Generation) architectures.
- Excellent problem-solving skills and the ability to communicate complex technical concepts effectively.