Summary:
Will design and develop backend solutions for machine learning and data engineering needs. Candidate must be well-versed and comfortable working in multiple aspects of a multi-tiered architecture, including Cloud Based applications and CICD processes. Should be able to show excellent problem-solving skills, self-motivated, highly detail-oriented, context-switching easily, colaborate across time zones, and be a team player.Will work with other engineers and stakeholders across the company to develop innovative solutions that meet key initiatives with respect to functionality, performance, scalability, reliability, realistic implementation schedules, and adherence to development goals and principles.
Duties and Responsibilities:
Design and Development:
- Develop and maintain scalable and efficient machine learning (ML) models and data engineering (DE) pipelines.
- Collaborate with data scientists and AI engineers to implement ML solutions.
- Optimize and refactor code for performance and scalability.
Data Analysis & Management:
- Build and maintain data pipelines to support ML models and analytics.
- Ensure data quality, integrity, and security across the pipeline.
- Integrate data from various data stores and kinds (SQL, document, vector, graph)
- Implement data analytics to be incorporated in reporting and dashboards
Model Training and Deployment:
- Train, test, and validate ML models to ensure high performance.
- Deploy models to production environments and monitor their performance.
- Use of version control, unit testing and CI/CD practices of ML models.
- Experience with MLOps practices
Collaboration and Support:
- Work closely with cross-functional teams including data scientists, data analysts, and product managers.
- Provide technical support and guidance to junior team members.
- Participate in code reviews and ensure adherence to best practices.
Documentation and Reporting:
- Document processes, methodologies, and workflows.
- Generate reports and dashboards to communicate project progress and outcomes.
- Stay updated with the latest industry trends and technologies.
Required Qualifications:
Education and Experience:
Bachelor’s degree in Computer Science, Engineering, or related field.
5+ years of experience in software engineering with a focus on ML and DE.
Technical Skills:
- Proficiency inPython and SQL
- Experience with ML frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Strong understanding of data engineering tools and platforms.
- Experience with cloud platforms (e.g., AWS, Google Cloud, Azure).
- Familiarity with database technologies (e.g., SQL, NoSQL).
- Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
Analytical Skills:
- Strong problem-solving skills and ability to work with complex datasets.
- Ability to analyze and interpret data to drive decision-making.
Soft Skills:
- Excellent communication and teamwork abilities.
- Strong organizational and time-management skills.
- Ability to work independently and in a team environment.
- Demonstrated ability to manage multiple projects and meet deadlines
Preferred Qualifications:
Advanced Education:
Master’s degree in Computer Science, Engineering, or hard sciences.
Industry Experience:
Previous experience in healthcare supply chain.
GHX: It's the way you do business in healthcare
Global Healthcare Exchange (GHX) enables better patient care and billions in savings for the healthcare community by maximizing automation, efficiency and accuracy of business processes.
GHX is a healthcare business and data automation company, empowering healthcare organizations to enable better patient care and maximize industry savings using our world class cloud-based supply chain technology exchange platform, solutions, analytics and services. We bring together healthcare providers and manufacturers and distributors in North America and Europe - who rely on smart, secure healthcare-focused technology and comprehensive data to automate their business processes and make more informed decisions.
It is our passion and vision for a more operationally efficient healthcare supply chain, helping organizations reduce - not shift - the cost of doing business, paving the way to delivering patient care more effectively. Together we take more than a billion dollars out of the cost of delivering healthcare every year. GHX is privately owned, operates in the United States, Canada and Europe, and employs more than 1000 people worldwide. Our corporate headquarters is in Colorado, with additional offices in Europe.
Disclaimer
Global Healthcare Exchange, LLC and its North American subsidiaries (collectively, “GHX”) provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, national origin, sex, sexual orientation, gender identity, religion, age, genetic information, disability, veteran status or any other status protected by applicable law. All qualified applicants will receive consideration for employment without regard to any status protected by applicable law. This EEO policy applies to all terms, conditions, and privileges of employment, including hiring, training and development, promotion, transfer, compensation, benefits, educational assistance, termination, layoffs, social and recreational programs, and retirement.
GHX believes that employees should be provided with a working environment which enables each employee to be productive and to work to the best of his or her ability. We do not condone or tolerate an atmosphere of intimidation or harassment based on race, color, national origin, sex, sexual orientation, gender identity, religion, age, genetic information, disability, veteran status or any other status protected by applicable law. GHX expects and requires the cooperation of all employees in maintaining a discrimination and harassment-free atmosphere. Improper interference with the ability of GHX’s employees to perform their expected job duties is absolutely not tolerated.
