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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer

Quantum Leap Technologies
San Francisco
Estimated Salary
USD 190.000 – USD 260.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Are you ready to shape the future of intelligent systems? Quantum Leap Technologies is seeking a visionary Senior AI/ML Engineer to lead our next-generation initiatives. In this role, you will architect and deploy scalable machine learning solutions that drive innovation for our enterprise clients. Join a team of top-tier engineers dedicated to pushing the boundaries of what's possible in Artificial Intelligence and Machine Learning.

Why Join Us?

  • Work on cutting-edge Generative AI and Large Language Model (LLM) projects.
  • Competitive compensation and equity packages.
  • Flexible remote-first work culture.
  • Opportunity for professional growth in a rapidly expanding tech hub.

Responsibilities

  • Design, develop, and deploy robust machine learning models and algorithms to solve complex business problems.
  • Lead the end-to-end machine learning lifecycle, from data ingestion and preprocessing to model training, evaluation, and production deployment.
  • Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to define technical requirements and architecture.
  • Optimize model inference latency and scalability to handle high-volume data streams.
  • Stay abreast of the latest advancements in AI research and implement best practices for MLOps and model governance.

Qualifications

  • Master’s or Ph.D. degree in Computer Science, Machine Learning, or a related field.
  • Minimum of 5 years of professional experience in AI/ML engineering, with a strong portfolio of deployed models.
  • Proficiency in programming languages such as Python, PyTorch, or TensorFlow.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Strong understanding of NLP, Computer Vision, or Deep Learning architectures.
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow AWS GCP Docker Kubernetes MLOps NLP Deep Learning Machine Learning Engineering

Ready to Take This Challenge?

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