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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI/ML Engineer

Nexus Future Systems
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are on the lookout for a visionary Senior AI/ML Engineer to join our elite engineering team at Nexus Future Systems. In this pivotal role, you will be at the forefront of developing next-generation artificial intelligence solutions that redefine industry standards. You will work in a dynamic, high-performance environment where your expertise in machine learning and deep learning will directly impact millions of users worldwide.


If you are passionate about pushing the boundaries of what's possible with AI and want to lead a team of top-tier talent, we want to hear from you.

Responsibilities

  • Design, develop, and deploy scalable machine learning models and algorithms that solve complex business problems.
  • Lead the end-to-end data science lifecycle, from data ingestion and preprocessing to model training, evaluation, and productionization.
  • Collaborate closely with product managers, data engineers, and software developers to integrate AI models into scalable software systems.
  • Mentor junior engineers and data scientists, fostering a culture of technical excellence and continuous learning within the team.
  • Stay abreast of the latest advancements in AI research (e.g., NLP, Computer Vision, Generative AI) and evaluate their applicability to our products.
  • Optimize existing models for speed, accuracy, and resource efficiency in cloud environments.

Qualifications

  • Master's or PhD degree in Computer Science, Mathematics, Statistics, or a related technical field.
  • Minimum of 5 years of professional experience in Machine Learning, Deep Learning, or AI Engineering.
  • Strong proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras.
  • Extensive experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Deep understanding of statistical modeling, data mining, and large-scale data processing techniques.
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning AWS GCP Kubernetes Docker SQL NLP Data Science

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