Senior Machine Learning Engineer

Posted 3 months agoViewed

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💎 Seniority level: Senior, 8+ years

📍 Location: United States

🔍 Industry: Insurtech

🏢 Company: Reserv👥 101-250💰 $20,000,000 Series A over 1 year agoConsulting Financial Services Insurance

🗣️ Languages: English

⏳ Experience: 8+ years

🪄 Skills: AWSDockerPythonMachine LearningNumpyProduct ManagementPyTorchRubyRuby on RailsData sciencePostgresPandasTensorflow

Requirements:

8+ years of experience as a data scientist with a robust portfolio demonstrating high-quality product delivery.
Experience in running end-to-end experiments, including dataset setup, developing controls, hypothesis testing, and rigorous evaluation.
Expertise in Python and libraries such as Pandas, NumPy, Scikit-Learn, TensorFlow, and/or PyTorch.
Strong software engineering skills with a commitment to develop maintainable and well-tested code.
Ability to stay updated with state-of-the-art techniques through ongoing research and application.
Strong prioritization of customer requirements and adaptability to evolving project scopes.
Passionate about creating intuitive technology solutions and eager to learn.

Responsibilities:

Develop and integrate AI models and machine learning solutions using Python, AWS, Docker, Postgres, and Ruby on Rails.
Collaborate with product management and operations to identify and prioritize machine learning opportunities.
Design, test, and deploy scalable machine learning architectures for rapid iteration and secure deployment.
Guide the creation of heuristic and complex machine learning models while adhering to 'Occam’s Razor.'
Mentor junior data scientists and support developers at customer companies.
Continuously deploy code to influence and enhance engineering culture.
Engage with cross-functional teams including product ops, design, and sales.

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