Job Description
Join the forefront of artificial intelligence innovation at Nexus AI Systems. We are seeking a visionary Senior Machine Learning Engineer to design and deploy scalable models that impact millions of users. You will work in a high-impact environment, collaborating with world-class researchers to bridge the gap between cutting-edge theory and production-ready applications.
At Nexus, we value intellectual curiosity, rigorous engineering, and a collaborative spirit. If you are passionate about solving complex data challenges and shaping the future of autonomous systems, we want to hear from you.
Responsibilities
- Architect and implement robust machine learning pipelines and models.
- Collaborate with data scientists to optimize algorithms for real-time performance.
- Maintain and improve existing model infrastructure in cloud environments (AWS/GCP).
- Conduct code reviews and mentor junior engineers on best practices.
- Stay current with state-of-the-art research and implement novel techniques.
- Monitor and troubleshoot model production performance and data drift.
- Partner with product teams to define technical requirements and roadmaps.
Qualifications
- M.S. or Ph.D. in Computer Science, AI, or a related quantitative field.
- 5+ years of professional experience in machine learning or data engineering.
- Expertise in Python and deep learning frameworks like PyTorch or TensorFlow.
- Solid understanding of distributed computing and cloud-native architectures.
- Proven ability to ship production-grade ML models at scale.
- Strong background in data structures, algorithms, and system design.
- Excellent communication skills with the ability to explain complex concepts clearly.