Machine Learning Engineer

November 18

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Logo of Definitive Healthcare

Definitive Healthcare

When you navigate the healthcare market, you run into big questions, fast. Where are the people who need your product? Where can you find the experts to inform your product development? And more importantly, how do you turn billions of data points into meaningful answers? At Definitive Healthcare, our passion is to transform data, analytics and expertise into healthcare commercial intelligence. We help clients uncover the right markets, opportunities and people, so they can shape tomorrow’s healthcare industry. Our SaaS platform creates the path to commercial success in the healthcare market, so you can identify where to go next.We offer solutions for customers who work in Biopharma, Medical Devices, Software & IT, Professional Services, Healthcare Providers or any industry looking to sell products into the healthcare market.Our solutions help customers who are looking for intelligence to help with: • Go-to-market planning and execution• Product development• Market intelligence• Corporate development• Sales intelligence & optimizationIn 2019, the Boston Business Journal named Definitive Healthcare the #1 Best Large Company to Work for in Massachusetts. BBJ also named Definitive Healthcare a 2021 Middle Market Leader in Massachusetts. Additionally, we’ve placed on the Boston Globe’s list of Top Places to Work in Massachusetts for the past five years in a row.To learn more about our company or to request a free trial of our solutions, visit us at www.definitivehc.com

501 - 1000 employees

💰 Private Equity Round on 2019-10

📋 Description

• Help design and implement AI/ML systems that drive meaningful business outcomes • Contribute to the development of end-to-end ML solutions, from data preparation and modeling to deployment and performance optimization • Collaborate with product managers and engineering teams to support ML initiatives • Help build and maintain data pipelines for large-scale datasets • Support experimentation efforts, including A/B testing and model management • Participate in prototyping and proof-of-concept development

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or related field (or equivalent practical experience) • 2–5 years of industry experience in ML Engineering, Data Science, or Data Engineering • Proficiency in Python, SQL, and PySpark, with experience using libraries like scikit-learn, PyTorch, and XGBoost • Experience building ML pipelines and working with tools like MLflow or similar • Familiarity with cloud platforms (AWS, GCP, Azure) and deploying models in production environments • Strong communication skills and ability to work effectively in cross-functional teams

🏖️ Benefits

• Comprehensive benefits package • Medical, dental, and vision coverage • Unlimited paid time off • Participation in the company’s 401(k) plan with employer contribution • Eligibility for a company bonus or commission plan

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