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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer 2025

Nexus AI
San Francisco
Estimated Salary
USD 175.000 – USD 240.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Are you ready to architect the future of intelligence? Nexus AI is seeking a visionary Senior AI/ML Engineer 2025 to join our elite engineering team. We are building the next generation of large-scale machine learning systems that will redefine how businesses interact with data.

In this role, you will not just write code; you will define the technical roadmap for our flagship products. You will work in a fast-paced, collaborative environment alongside world-class researchers and engineers. If you are passionate about pushing the boundaries of AI and want to make a tangible impact in the tech industry, we want to meet you.

Why Join Us?

  • Competitive compensation package and equity options.
  • Flexible remote-first culture with a focus on work-life balance.
  • Access to cutting-edge hardware and cloud infrastructure.

Key Responsibilities:

Responsibilities

  • Design, develop, and deploy scalable machine learning models and AI infrastructure pipelines.
  • Collaborate with product managers and data scientists to translate business requirements into technical solutions.
  • Optimize existing models for inference speed and accuracy to ensure real-time performance.
  • Mentor junior engineers and conduct code reviews to maintain high engineering standards.
  • Implement MLOps best practices to automate model training, evaluation, and deployment.
  • Stay abreast of the latest research in Deep Learning and Natural Language Processing to drive innovation.

Qualifications

  • Master’s degree or Ph.D. in Computer Science, Machine Learning, or a related technical field.
  • Minimum of 5 years of professional experience in building and deploying ML systems.
  • Strong proficiency in Python, PyTorch, or TensorFlow.
  • Deep understanding of algorithms, data structures, and software design principles.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Proven track record of shipping production-ready AI applications.

Required Skills

Python PyTorch TensorFlow Machine Learning AI Deep Learning AWS Docker Kubernetes MLOps Natural Language Processing

Ready to Take This Challenge?

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

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