APrime Technology
APrime Technology is a strategic engineering partner that specializes in product development and technology solutions for startups looking to innovate and disrupt industries. With a team of expert engineers from prestigious backgrounds, APrime helps founders navigate the complexities of building and scaling their transformational products, particularly in highly regulated sectors such as healthcare and finance. Their services range from validating ideas to engineering prototypes, enabling startups to accelerate growth and attract investment.
Senior Software Engineer - Data, ML
6 days ago
APrime Technology
APrime Technology is a strategic engineering partner that specializes in product development and technology solutions for startups looking to innovate and disrupt industries. With a team of expert engineers from prestigious backgrounds, APrime helps founders navigate the complexities of building and scaling their transformational products, particularly in highly regulated sectors such as healthcare and finance. Their services range from validating ideas to engineering prototypes, enabling startups to accelerate growth and attract investment.
📋 Description
•Responsible for leading or collaborating on engineering design, development, and deployment of features and projects •Write clean, reusable, well-documented code •Improve code structure and architecture in service of testability and maintainability •Work with colleagues and client team to solve problems, extract requirements, set expectations around delivery timelines, and surface risks or hidden/unanticipated scope with minimal direction
🎯 Requirements
•7+ years of professional experience in a full-time Software Engineering, Data Scientist or Data Engineering role •3+ years of working with SQL and relational database systems, such as MySQL, Postgres •2+ years of working with the standard set of Python-based data tools and frameworks, i.e. Pandas, NumPy/SciPy •Practical experience with modern ETL platform or products, such as Airflow, Prefect, Luigi •Strong communication, critical thinking, and problem-solving skills •Nice to have: Experience working with healthcare-related datasets or entities, e.g. insurance plans, PBMs, Medicare/CMS, healthcare providers •Experience developing software applications with a substantial AI/ML component •Familiarity with domains such as NLP, computer vision, conversational interfaces, GenAI + LLM evaluation •Advanced degree in Math, Statistics, Data Science, or other scientific field with a heavy focus on statistical/data analysis
🏖️ Benefits
•Generous incentive compensation opportunities in the form of a discretionary annual bonus •Referral commission •Equity incentives that can total up to 50% of base pay
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