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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI/ML Engineer (2024 Vision)

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
6 Juni 2026
Deadline
6 Jun 2027

Job Description

Join the Future of Intelligence at Nexus Innovations

We are seeking a visionary Senior AI/ML Engineer to spearhead our 2024 strategic roadmap. In this pivotal role, you will architect scalable machine learning solutions that redefine user experiences and drive operational efficiency. You will work in a fast-paced, remote-first environment with a team of industry experts committed to pushing the boundaries of Generative AI and Large Language Models.

Key Benefits:

  • Competitive salary and equity package.
  • Unlimited PTO and comprehensive health benefits.
  • Access to the latest hardware for model training.

Responsibilities

  • Design, develop, and deploy production-grade machine learning models and pipelines using Python, TensorFlow, and PyTorch.
  • Collaborate with data scientists and engineers to optimize algorithms for low-latency, high-volume processing.
  • Perform exploratory data analysis (EDA) and feature engineering to drive model accuracy and robustness.
  • Mentor junior engineers and conduct code reviews to maintain high engineering standards.
  • Stay at the forefront of AI research and implement cutting-edge techniques into our products.
  • Ensure model scalability, security, and compliance with data privacy regulations.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related quantitative field.
  • 5+ years of professional experience in Machine Learning, Data Science, or a similar technical role.
  • Proven expertise in Deep Learning frameworks and cloud platforms (AWS, GCP, or Azure).
  • Strong programming skills in Python, SQL, and C++.
  • Experience with MLOps tools such as Docker, Kubernetes, and MLflow.
  • Demonstrated ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

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

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