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Senior Machine Learning Engineer

AI Tech Innovations
San Francisco
Senior Machine Learning Engineer - AI Tech Innovations
Estimated Salary
USD 150.000 – USD 180.000
Live Update
21 Mei 2026
Deadline
21 Mei 2027

Job Description

Join AI Tech Innovations as our Senior Machine Learning Engineer, where you'll work on cutting-edge projects and collaborate with a talented team. We're looking for an experienced professional to drive our machine learning initiatives and help us stay ahead of the curve.

Responsibilities

  • Design, develop, and implement machine learning models and algorithms.
  • Collaborate with data engineers and software developers to integrate models into production environments.
  • Conduct research and stay updated on the latest trends and best practices in machine learning.
  • Mentor junior team members and contribute to their professional growth.
  • Work with stakeholders to understand business needs and translate them into data-driven solutions.
  • Perform data analysis and visualization to derive insights and inform decision-making.
  • Participate in code reviews and ensure the quality and maintainability of our machine learning codebase.
  • Contribute to the development of our machine learning infrastructure and tooling.

Qualifications

  • Master's degree in Computer Science, Statistics, Mathematics, or a related field.
  • Proven experience (5+ years) as a Machine Learning Engineer or similar role.
  • Strong proficiency in Python and one or more machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization (e.g., Docker, Kubernetes).
  • Solid understanding of machine learning principles, algorithms, and best practices.
  • Experience with data processing frameworks (e.g., Apache Spark, Apache Beam) and big data technologies (e.g., Hadoop, Hive).
  • Excellent communication and collaboration skills.
  • Ability to work independently and manage multiple projects.

Required Skills

Machine Learning Python TensorFlow PyTorch Scikit-learn AWS GCP Azure Docker Kubernetes Apache Spark Apache Beam Hadoop Hive Data Analysis Data Visualization

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