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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI & Machine Learning Engineer

TechNova Solutions
San Francisco, CA
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
31 Mei 2026
Deadline
31 Mei 2027

Job Description

We are seeking a visionary Senior AI & Machine Learning Engineer to lead our research and development team. At TechNova, we are building the cognitive infrastructure for the next generation of enterprise applications. You will be at the forefront of deploying cutting-edge Generative AI and Large Language Models (LLMs) into production environments. If you are passionate about pushing the boundaries of what is possible in artificial intelligence and want to shape the future of tech, we want to hear from you.

Why Join Us?

  • Work on high-impact projects that define the industry standard.
  • Competitive compensation and equity packages.
  • Top-tier benefits and remote-first flexibility.

Responsibilities

  • Design, develop, and deploy scalable Machine Learning models and algorithms that drive business value.
  • Lead the end-to-end machine learning lifecycle, from data ingestion and feature engineering to model training, validation, and production deployment.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate business requirements into technical solutions.
  • Optimize existing models for speed, accuracy, and cost-effectiveness in high-volume production environments.
  • Stay current with the latest research in Deep Learning, NLP, and Computer Vision to integrate novel techniques into our stack.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, or a related field (PhD preferred).
  • 5+ years of professional experience in Machine Learning or Artificial Intelligence engineering.
  • Strong proficiency in programming languages such as Python, PyTorch, or TensorFlow.
  • Extensive experience with MLOps tools and cloud platforms (AWS, GCP, or Azure).
  • Deep understanding of statistical analysis, data modeling, and algorithm design.
  • Proven track record of shipping production-ready AI applications.

Required Skills

Python PyTorch TensorFlow MLOps AWS GCP SQL Machine Learning Deep Learning NLP Generative AI Docker Kubernetes

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