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Information Technology 🏢 Full Time ⭐️ Verified

Senior Machine Learning Engineer

NexaMind AI
San Francisco
Salary Estimate
USD 160.000 – USD 220.000
Live Update
2 Juni 2026
Deadline
2 Jun 2027

Job Description

Join the frontier of artificial intelligence at NexaMind AI. We are looking for a visionary Senior Machine Learning Engineer to design, build, and deploy scalable AI models that power next-generation enterprise solutions. If you are passionate about transforming complex data into actionable intelligence, this is your chance to make a massive impact in a rapidly growing, well-funded startup.

We offer a collaborative environment, top-tier compensation, and the hardware resources you need to push the boundaries of what AI can achieve.

Responsibilities

  • Design, develop, and deploy advanced machine learning models and AI algorithms.
  • Collaborate with cross-functional teams, including data engineers and product managers, to build robust data pipelines.
  • Optimize deep learning models for performance, latency, and scalability in production environments.
  • Conduct rigorous A/B testing, model evaluation, and fine-tuning to ensure high accuracy and reliability.
  • Stay abreast of the latest AI research and proactively integrate cutting-edge techniques into our technology stack.
  • Mentor junior engineers and foster a culture of continuous learning and technical excellence.

Qualifications

  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, Mathematics, or a related technical field.
  • 5+ years of hands-on experience in machine learning engineering, applied AI, or data science.
  • Expert proficiency in Python and deep learning frameworks such as PyTorch and TensorFlow.
  • Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Deep understanding of Natural Language Processing (NLP), Large Language Models (LLMs), or Computer Vision.
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Machine Learning Python PyTorch TensorFlow AWS Kubernetes NLP Large Language Models Data Pipelines MLOps

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