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2025 AI Engineer

InnovateTech Solutions
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join the Future of Intelligence


InnovateTech Solutions is seeking a visionary 2025 AI Engineer to lead the next generation of machine learning initiatives. We are building the infrastructure that will define the technological landscape of the coming decade. If you are passionate about pushing the boundaries of what's possible with Artificial Intelligence and Large Language Models (LLMs), this is your opportunity to make an impact.


As a key member of our R&D division, you will design, train, and deploy scalable AI models that power our core products. You will work in a collaborative, high-performance environment with top-tier engineers and researchers.


Why InnovateTech?

  • Competitive compensation and equity package.
  • Flexible remote-first culture with a vibrant San Francisco office.
  • Access to cutting-edge hardware and cloud resources.
  • Professional development and continuous learning opportunities.

Responsibilities

  • Architect and implement robust machine learning pipelines and deep learning models.
  • Optimize existing models for latency, accuracy, and scalability in production environments.
  • Collaborate with cross-functional teams to integrate AI capabilities into consumer-facing applications.
  • Conduct research and experimentation with novel architectures and algorithms to stay ahead of industry trends.
  • Mentor junior engineers and conduct code reviews to maintain high engineering standards.
  • Define and track key performance indicators (KPIs) for AI model performance and business impact.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Mathematics, or a related technical field (or equivalent practical experience).
  • 5+ years of professional experience in Machine Learning, Deep Learning, or Natural Language Processing.
  • Strong proficiency in Python and deep learning frameworks (PyTorch, TensorFlow, or JAX).
  • Experience with MLOps tools (Docker, Kubernetes, MLflow, Airflow) and cloud platforms (AWS, GCP, or Azure).
  • Proven track record of deploying production-ready AI systems that handle high traffic.
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP MLOps AWS Kubernetes Docker Data Science

Ready to Take This Challenge?

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