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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

We are looking for a visionary Senior AI/ML Engineer to lead the next generation of intelligent systems at Nexus Innovations. If you are passionate about pushing the boundaries of artificial intelligence and want to work on transformative projects that impact millions, we want to meet you.

In this role, you will design, build, and deploy cutting-edge machine learning models that drive our core products. You will collaborate with a world-class team of data scientists, software engineers, and product managers to deliver scalable, robust, and ethical AI solutions. Join us in shaping the future of technology.

Why Join Nexus Innovations?

  • Work with state-of-the-art AI frameworks and hardware.
  • Competitive compensation and comprehensive benefits package.
  • Flexible remote and hybrid work options.
  • Opportunity for rapid career growth in a high-growth environment.

Responsibilities

  • Design, develop, and optimize machine learning algorithms and deep neural networks for production environments.
  • Collaborate with cross-functional teams to define AI product requirements and translate them into technical solutions.
  • Implement MLOps pipelines to ensure model scalability, monitoring, and continuous integration.
  • Conduct data analysis to derive actionable insights and improve model performance.
  • Stay current with the latest research in AI/ML and apply best practices to our architecture.
  • Mentor junior engineers and conduct code reviews to maintain high engineering standards.

Qualifications

  • PhD or Master’s degree in Computer Science, Statistics, Mathematics, or a related technical field.
  • 5+ years of professional experience in Machine Learning, Deep Learning, or Data Science.
  • Strong proficiency in Python, PyTorch, or TensorFlow.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Deep understanding of MLOps, model deployment, and A/B testing methodologies.
  • Excellent problem-solving skills and ability to work in a fast-paced, agile environment.

Required Skills

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

Ready to Take This Challenge?

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