Job Description
Are you ready to architect the future? Nexus Future is seeking a visionary Senior AI Engineer to lead our next-generation research initiatives. In this pivotal role, you will be responsible for defining the technical roadmap for 2026 and beyond, building the infrastructure that powers our cutting-edge artificial intelligence solutions.
We are looking for a self-starter who is passionate about Machine Learning, Deep Learning, and scalable architecture. You will work closely with our product teams to transform complex data into intelligent, real-world applications that solve critical business problems.
If you are an expert in modern AI frameworks and want to push the boundaries of what is possible in the tech industry, apply today to join our elite team.
Responsibilities
- Strategic Architecture: Design and implement scalable machine learning infrastructure designed to support the demands of the 2026 technological landscape.
- Model Development: Develop, train, and fine-tune advanced deep learning models (NLP, Computer Vision, or RL) using PyTorch and TensorFlow.
- MLOps Leadership: Build and maintain robust MLOps pipelines, ensuring automated model training, testing, and deployment (CI/CD).
- Performance Optimization: Optimize model inference latency and resource consumption to ensure seamless user experiences.
- Technical Mentorship: Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Research Integration: Stay ahead of industry trends by integrating the latest research breakthroughs into our production systems.
Qualifications
- Education: Master’s degree in Computer Science, Statistics, Mathematics, or a related field (PhD preferred).
- Experience: 5+ years of professional experience in AI/ML, with a proven track record of shipping production-grade models.
- Technical Skills: Deep expertise in Python, C++, or Java. Strong proficiency in PyTorch or TensorFlow.
- Cloud & DevOps: Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
- Mathematics: Strong foundation in linear algebra, calculus, probability, and statistics.
- Problem Solving: Exceptional analytical skills with the ability to debug complex system issues.