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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer

Apex Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Apex Innovations is pioneering the future of Artificial Intelligence and machine learning solutions. We are seeking a highly skilled and visionary Senior AI Engineer to join our elite team in San Francisco. In this role, you will be at the forefront of developing next-generation algorithms that drive business transformation and solve complex global challenges.

As part of our 2024 strategic growth, you will collaborate with cross-functional teams of data scientists, engineers, and product managers to architect scalable AI systems. If you are passionate about pushing the boundaries of what is possible in AI and want to make a tangible impact, we want to hear from you.

Responsibilities

  • Design, develop, and deploy state-of-the-art machine learning models and deep learning architectures.
  • Lead the end-to-end data pipeline, from data ingestion and preprocessing to model training, evaluation, and productionization.
  • Collaborate with stakeholders to translate complex business requirements into robust technical solutions.
  • Optimize existing models for speed, accuracy, and scalability in high-traffic environments.
  • Conduct rigorous A/B testing and performance analysis to drive continuous improvement of AI products.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.

Qualifications

  • Master’s or PhD in Computer Science, Machine Learning, Statistics, or a related field (or equivalent practical experience).
  • 5+ years of professional experience in AI/ML engineering, with a strong portfolio of deployed models.
  • Proficiency in programming languages such as Python, with deep expertise in libraries like TensorFlow, PyTorch, or JAX.
  • Strong understanding of software engineering principles, including version control (Git), CI/CD, and containerization (Docker/Kubernetes).
  • Experience with cloud platforms (AWS, GCP, or Azure) and big data technologies (Spark, Kafka).
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical audiences.

Required Skills

Python TensorFlow PyTorch AWS Docker Kubernetes Machine Learning Deep Learning NLP SQL

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