Machine Learning Engineer

About the Organization

Our client is at the forefront of revolutionizing Revenue Cycle Management (RCM) by integrating intelligence and automation into the entire process, from patient appointments to final payments. Their innovative software unifies RCM processes into a cohesive platform, empowering healthcare providers to identify financial and operational enhancements, thereby striving to exceed the industry average by significantly improving revenue collection rates.

The Role

The organization seeks engineers eager to contribute across various domains and play a pivotal role in the company's growth and scale. The role focuses on expanding the Intelligence Data Science team, enhancing expertise in areas like natural language processing, anomaly detection, and deep learning. This position involves designing and developing frameworks, systems, and tools to create predictive and explainable models, translating data analysis into actionable machine learning models.

Responsibilities:

• Strengthen the data science team's capabilities, particularly in natural language processing, anomaly detection, and deep learning.

• Design and develop systems and frameworks for predictive modeling.

• Translate complex data analysis into implementable machine learning models.

• Collaborate closely with other teams to solve critical problems and contribute to the organization's data-driven approach.

Required Experience:

• Minimum 3-4 years of proficiency in SQL, Python, or comparable experience in another major programming language (Java/Scala/C++).

• Solid understanding of statistics, data analysis, and predictive modeling.

• Experience with Data Science frameworks (e.g., Pandas, Scikit Learn, TensorFlow) and data engineering tools (PostgreSQL, AWS Redshift, Snowflake, etc.).

Nice to Have:

• Expertise in time series analysis, forecasting, anomaly detection, and familiarity with healthcare data.

• Experience with ML Ops frameworks (e.g., MLFlow, Metaflow, DVC) and building data pipelines.

Perks:

• Competitive equity packages and comprehensive health benefits.

• Generous PTO and employer-funded HSA.

• Parental leave, commuter benefits, daily office lunches, and snacks.

• Located in a prime office space with easy access to public transportation and stunning city views.

Equal Opportunity Employer:

The company is proud to be an equal-opportunity employer, committed to building a diverse and inclusive culture. They do not discriminate on any legally protected characteristics and are dedicated to creating an accessible workplace for all individuals. The salary range for this position is $170,000 - $200,000 per year, with variations based on experience, skills, and expertise. In addition to the base salary, competitive equity, and benefits packages are offered.