Machine Learning Specialist

2 days ago


Mountain View, California, United States Bonfy Full time

About the Role: As a Senior software Engineer at Bonfy.AI, you will play a crucial role in developing, deploying, and optimizing machine learning models that scale across diverse applications. This role requires a deep foundation in software development, algorithms, and data science mathematics. You will work on cutting-edge technologies and directly impact the growth and success of our startup by driving innovations that are robust, efficient, and scalable for our needs.



Responsibilities:

  • Design, implement, and optimize machine learning models across domains such as natural language processing, classification, anomaly detection, and more.
  • Develop and maintain end-to-end machine learning pipelines, from data gathering and preprocessing to model training, testing, and deployment.
  • Stay current with the latest developments in machine learning, natural language processing, and artificial intelligence and assess new tools and frameworks for their applicability to ongoing projects.
  • Evaluate and ensure the scalability and reliability of machine learning systems through continuous performance benchmarking.
  • Closely collaborate with data engineers and software developers to ensure seamless integration and scalability of models in production environments.


Requirements:

  • BSc. or MSc. in Computer Science, Data Science, Machine Learning, or related fields.
  • Minimum of 5 years of hands-on experience in developing commercial-grade solutions (or equivalent) in software engineering.
  • Proven expertise in designing, training, and deploying algorithms. Experience with machine learning models using frameworks like TensorFlow, PyTorch, or Scikit-learn is advantageous.
  • Strong programming skills in Python and familiarity with ML libraries. Solid understanding of algorithms, data structures, and software engineering principles.
  • Experience in scaling models for production use cases, emphasizing performance optimization and robustness.
  • Familiarity with cloud platforms such as AWS, Google Cloud, or Azure.
  • Knowledge of data science principles, including statistical analysis and evaluation metrics for machine learning tasks.


Benefits:

We offer a competitive salary of $150,000 - $180,000 per year, based on experience, and a comprehensive benefits package, including health insurance, retirement plan, and paid time off.



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