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Information Technology 🏢 Full Time ⭐️ Terverifikasi

AI/Machine Learning Engineer

InnovateAI Solutions
San Francisco
Estimasi Gaji
USD 150.000 – USD 220.000
Live Update
19 Mei 2026
Batas Akhir
19 Mei 2027

Deskripsi Pekerjaan

Are you a visionary AI/Machine Learning Engineer passionate about pushing the boundaries of artificial intelligence? InnovateAI Solutions is seeking a brilliant and driven individual to join our dynamic team in San Francisco. We're building the next generation of AI-powered products that will revolutionize industries, and we need your expertise to make it happen.

At InnovateAI, you'll work on challenging problems, design and implement scalable machine learning systems, and collaborate with a world-class team of engineers and researchers. If you thrive in an environment of innovation, continuous learning, and impactful work, we invite you to explore this exciting opportunity.

Tanggung Jawab

  • Design, develop, and deploy scalable machine learning models and algorithms.
  • Collaborate with product managers and data scientists to understand business needs and translate them into AI solutions.
  • Optimize existing machine learning pipelines for performance, accuracy, and efficiency.
  • Research and implement state-of-the-art AI/ML techniques and technologies.
  • Build and maintain robust MLOps practices for model lifecycle management.
  • Evaluate and iterate on models using rigorous testing and validation methodologies.
  • Contribute to code reviews and mentor junior engineers within the team.
  • Document technical designs, processes, and experimental results clearly.

Kualifikasi

  • Master's or Ph.D. in Computer Science, Machine Learning, AI, or a related quantitative field.
  • 3+ years of professional experience in developing and deploying machine learning models.
  • Strong proficiency in Python and experience with ML frameworks (TensorFlow, PyTorch, scikit-learn).
  • Solid understanding of machine learning principles, algorithms, and statistical modeling.
  • Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools (e.g., Kubeflow, MLflow).
  • Familiarity with data processing and big data technologies (e.g., Spark, SQL).
  • Excellent problem-solving skills and ability to work independently or as part of a team.
  • Strong communication skills and ability to explain complex technical concepts.

Keahlian yang Dibutuhkan

Python TensorFlow PyTorch Machine Learning Deep Learning NLP Computer Vision MLOps AWS GCP Azure Data Science Big Data Spark Scikit-learn

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