At Bonfy.AI, we're working behind the scenes on game-changing innovations to make AI trustworthy.
Position Overview:
Bonfy.AI is seeking a highly skilled and motivated Senior Machine Learning Engineer to join our dynamic team. The ideal candidate will play a pivotal role in developing, deploying, and optimizing machine learning models that scale across diverse applications. This role requires a deep foundation in machine learning, data science, and software development. 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.
- Ensure the scalability and reliability of machine learning systems through continuous evaluation, tuning, and performance benchmarking.
- Collaborate closely with data engineers and software developers to ensure seamless integration and scalability of models in production environments.
- Provide mentorship to junior team members and contribute to shaping our technology strategy and roadmap.
Technical 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 machine learning and artificial intelligence.
- Proven expertise in designing, training, and deploying machine learning models using frameworks like TensorFlow, PyTorch, or Scikit-learn.
- 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, including AI/ML services.
- Strong knowledge of data science principles, including statistical analysis and evaluation metrics for machine learning tasks.
Additional Requirements:
- Applicants must have legal authorization to work in the United States.
- Applicants must be able to work in a hybrid mode at our office located in Mountain View, California.