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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
29 Juni 2026
Deadline
29 Jun 2027

Job Description

We are on a mission to define the technological landscape of 2026 and beyond. Nexus Future Systems is seeking a visionary Senior AI/ML Engineer to lead our next-generation predictive modeling and generative AI initiatives. You will be instrumental in architecting scalable machine learning systems that solve complex, real-world problems.

In this role, you won't just maintain legacy systems; you will build the core infrastructure for our future. We offer a competitive compensation package, equity, and the opportunity to work in a dynamic, forward-thinking environment.

Responsibilities

  • Design, develop, and deploy advanced machine learning models and deep neural networks.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate business requirements into technical solutions.
  • Optimize existing algorithms for improved accuracy, speed, and scalability.
  • Implement MLOps pipelines to ensure reproducibility and continuous integration of models.
  • Conduct rigorous A/B testing and performance analysis to validate model outputs.
  • Stay ahead of industry trends in AI, specifically focusing on LLMs and Generative AI advancements.
  • Mentor junior engineers and conduct code reviews to maintain high technical standards.

Qualifications

  • PhD or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
  • 5+ years of professional experience in Machine Learning, AI, or Data Science.
  • Strong proficiency in Python, PyTorch, or TensorFlow.
  • Proven experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Deep understanding of statistical modeling and natural language processing (NLP).
  • Excellent problem-solving skills and the ability to work in a fast-paced, agile environment.
  • Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

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

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