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Information Technology 🏢 Full Time ⭐️ Verified

Senior Machine Learning Engineer - Project 2026

Nexus Core Technologies
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Are you ready to define the future of technology?

Nexus Core Technologies is seeking a visionary Senior Machine Learning Engineer to lead our revolutionary Project 2026. As we prepare for the next generation of artificial intelligence infrastructure, we need a technical leader who can architect scalable solutions that push the boundaries of what is possible.

In this role, you will be at the forefront of innovation, working on cutting-edge models that will power the next decade of enterprise solutions. You will collaborate with a world-class team of data scientists, engineers, and researchers to build systems that are not only robust but also ethically sound.

Why Nexus Core?

  • Work on projects with a tangible global impact.
  • Competitive compensation and equity packages.
  • Flexible remote and hybrid work options.
  • Access to state-of-the-art computing resources.

If you are passionate about Machine Learning and want to leave a legacy in the tech industry, we want to hear from you.

Responsibilities

  • Lead the architectural design and implementation of complex machine learning pipelines for Project 2026.
  • Research and integrate novel algorithms to improve model accuracy and efficiency.
  • Collaborate with cross-functional teams to translate business requirements into technical solutions.
  • Mentor junior engineers and data scientists, fostering a culture of continuous learning and innovation.
  • Ensure the scalability, security, and reliability of deployed models in production environments.
  • Conduct rigorous code reviews and contribute to the technical roadmap of the organization.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field.
  • 5+ years of professional experience in Machine Learning, Deep Learning, or AI engineering.
  • Strong proficiency in Python, TensorFlow, PyTorch, or similar frameworks.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Proven track record of deploying end-to-end ML models to production.
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, agile environment.

Required Skills

Python TensorFlow PyTorch AWS Docker Kubernetes Machine Learning Deep Learning SQL MLOps Agile

Ready to Take This Challenge?

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

Apply Now

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