Home Job Details
N
Information Technology 🏢 Full Time ⭐️ Verified

Senior AI & Machine Learning Engineer

Nexus Future Systems
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

Are you ready to shape the future of artificial intelligence? Nexus Future Systems is seeking a visionary Senior AI & Machine Learning Engineer to lead our R&D initiatives aimed at the 2026 roadmap.

In this high-impact role, you will be at the forefront of developing next-generation neural architectures, optimizing large-scale data pipelines, and deploying robust ML models that drive business transformation. We are looking for a problem solver who thrives in a fast-paced, innovative environment.

We offer a competitive salary, equity packages, and the opportunity to work with cutting-edge technologies.

Responsibilities

  • Architect & Deploy: Design, build, and maintain scalable machine learning pipelines and AI infrastructure for production environments using Python and advanced frameworks.
  • Model Optimization: Continuously research and implement state-of-the-art algorithms to improve model accuracy, speed, and efficiency in real-time applications.
  • Collaboration: Partner with cross-functional teams of data scientists, engineers, and product managers to define technical requirements and drive product features.
  • R&D Leadership: Lead technical explorations in Generative AI, NLP, and Computer Vision to ensure our 2026 product roadmap is competitive and future-proof.
  • MLOps: Implement CI/CD pipelines for machine learning models, ensuring reproducibility, automated testing, and monitoring.
  • Code Review: Conduct rigorous code reviews and mentor junior engineers to maintain high engineering standards.

Qualifications

  • Education: Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, or a related field; PhD preferred.
  • Experience: 5+ years of professional experience in AI/ML engineering, with a proven track record of deploying successful models.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and SQL; familiarity with deep learning libraries.
  • Cloud Expertise: Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Problem Solving: Proven ability to troubleshoot complex system issues and optimize system performance under pressure.

Required Skills

Python PyTorch TensorFlow MLOps AWS GCP Docker Kubernetes NLP Deep Learning Machine Learning Data Science

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

Related Jobs

Similar job recommendations for you

View All