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Artificial Intelligence 🏢 Full Time ⭐️ Verified

Senior AI Engineer

NovaMind AI Labs
San Francisco, CA
Salary Estimate
USD 150.000 – USD 190.000
Posting Time
7 Mei 2026
Deadline
7 Mei 2027

Job description

Join NovaMind AI Labs, a leading innovator in artificial intelligence solutions, to design and deploy scalable AI systems that power real-world applications across industries. This role offers the opportunity to work with world-class researchers and engineers, shaping product strategy and advancing AI capabilities in a fast-paced environment.

As a Senior AI Engineer, you will own end-to-end development from concept to production, collaborate with cross-functional teams, and mentor junior engineers. If you are passionate about ML, NLP, and data-driven decision making, we want to hear from you.

Responsibility

  • Lead the design, development and deployment of scalable AI models and systems in production
  • Collaborate with product, data engineering, and research teams to translate business problems into AI solutions
  • Architect reliable ML pipelines and model governance frameworks
  • Experiment with advanced algorithms in ML, NLP, computer vision, or reinforcement learning
  • Mentor junior engineers and drive best practices in code quality, testing, and observability
  • Monitor model performance, bias, and fairness, and implement improvements
  • Ensure compliance with data privacy, security standards, and regulatory requirements
  • Communicate results and impact to stakeholders with clear metrics and storytelling

Qualification

  • 5+ years of hands-on experience developing AI models and deploying them to production
  • Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch)
  • Experience with NLP, CV, or other AI subfields; track record of shipped projects
  • Expertise in ML lifecycle, model optimization, data engineering, and MLOps
  • Proven ability to work across teams and communicate complex concepts clearly
  • MS or PhD in CS, AI, ML or related field preferred
  • Strong problem-solving, experimentation, and critical thinking
  • Knowledge of cloud platforms (AWS, GCP, Azure) and CI/CD for ML

Required Skills

Python TensorFlow PyTorch ML NLP computer vision data engineering MLOps cloud computing Git

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