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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are seeking a visionary Senior AI/ML Engineer to spearhead the development of next-generation artificial intelligence solutions. At Nexus Future Systems, we are not just predicting the future; we are building it. In this pivotal role, you will lead the architecture and implementation of large-scale machine learning models that drive our core products forward. You will work in a fast-paced, collaborative environment where innovation is the standard and impact is measurable. If you are passionate about pushing the boundaries of what is possible in AI and want to be at the forefront of the industry by 2026, we want to hear from you.

Why Join Us?

  • Competitive compensation package and equity options.
  • Flexible remote-first culture with state-of-the-art office amenities.
  • Opportunity to work on cutting-edge projects with global impact.
  • Continuous learning and development budget.

Responsibilities

  • Design, train, and deploy advanced machine learning models and deep learning architectures.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to define AI product requirements.
  • Optimize algorithms for high scalability, speed, and accuracy in production environments.
  • Mentor junior engineers and conduct code reviews to ensure best practices in software engineering and data science.
  • Stay abreast of the latest research in AI and NLP to integrate state-of-the-art techniques into our systems.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Minimum of 5 years of professional experience in machine learning, deep learning, or NLP.
  • Strong proficiency in Python, TensorFlow, PyTorch, or Scikit-learn.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Proven track record of taking complex models from research to production.

Required Skills

Python TensorFlow PyTorch NLP Computer Vision AWS GCP Docker Kubernetes Machine Learning Deep Learning

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