Job Description
We are seeking a visionary Senior AI Engineer to join our elite team at Nexus Horizon Systems. In this role, you will be at the forefront of developing next-generation artificial intelligence solutions that drive our global product strategy. If you are passionate about pushing the boundaries of Machine Learning and Large Language Models, we want to hear from you.
Why Join Us?
• Work with cutting-edge technologies including PyTorch, TensorFlow, and LangChain.
• Competitive equity package and performance bonuses.
• Collaborative, innovative culture that values intellectual curiosity.
Your Mission:
As a Senior AI Engineer, you will design, train, and deploy scalable AI models that solve complex real-world problems. You will bridge the gap between theoretical research and production-ready applications, ensuring our systems are robust, efficient, and ethically sound.
Responsibilities
- Model Development: Design and implement state-of-the-art Machine Learning algorithms and Deep Learning architectures tailored to specific business needs.
- System Optimization: Optimize existing models for inference speed and accuracy, reducing latency in high-traffic environments.
- Data Engineering: Collaborate with data scientists to curate high-quality datasets and implement robust data pipelines.
- MLOps: Establish and maintain CI/CD pipelines for machine learning models, ensuring seamless deployment and monitoring.
- Technical Leadership: Mentor junior engineers and conduct code reviews to maintain high technical standards across the engineering team.
- Research: Stay abreast of the latest academic papers and industry trends to integrate novel techniques into our product stack.
Qualifications
- Education: Master’s or PhD in Computer Science, Statistics, Mathematics, or a related field.
- Experience: Minimum of 5+ years of professional experience in software engineering or machine learning.
- Programming: Proficiency in Python, with strong knowledge of C++ or Java for high-performance computing.
- Frameworks: Deep expertise in PyTorch, TensorFlow, or JAX.
- NLP: Proven experience with Natural Language Processing (NLP) and Transformer models.
- Cloud: Experience deploying models on cloud platforms (AWS, GCP, or Azure) using Docker and Kubernetes.