Synergenhealth

Hospitals and Health Care501-1,000 employeesWebsite

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Open Roles

Synergenhealth, a leading provider of transformational revenue cycle solutions and services in the healthcare industry, is currently hiring. With a company size of 501-1,000 employees, Synergenhealth leverages innovative Analytics, Artificial Intelligence/Machine Learning, and Robotic Process Automation to digitize healthcare processes. The company has been recognized as one of the 70 Best Large Workplaces in Asia by Great Place to Work® in 2025 and was ranked among the 5,000 fastest-growing private companies in the U.S. for seven consecutive years by Inc. magazine. Synergenhealth currently has three open positions: * **HR Associate:** This on-site role involves supporting the Human Resources team in various HR operations. Responsibilities include assisting with recruitment and onboarding, transport management for employees, maintaining employee records and HR documentation, serving as a point of contact for employee queries, and assisting in organizing employee engagement activities. * **Associate Operations Analyst:** This on-site position involves supporting data management processes, transaction processing, client reporting, and issue resolution across multiple client accounts, ensuring operational requirements are met. * **Machine Learning Engineer:** This on-site, mid-level professional role is responsible for designing, developing, and deploying machine learning models and systems. Synergenhealth utilizes a diverse technology stack across its operations. The HR Associate position involves the following tech stack: Recruitment, Onboarding, Transport Management, Employee Records, HR Documentation, Employee Queries, Employee Engagement, and Workplace Culture. The Associate Operations Analyst role involves: Data Management, Transaction Processing, Client Reporting, Issue Resolution, Customer-first Mindset, MS Excel, MS Word, Operational Challenges, Spoken English, and Written English. The Machine Learning Engineer role requires skills in: Machine Learning, Data Pipelines, APIs, Python, TensorFlow, PyTorch, SQL, NoSQL, Cloud Platforms, Data Manipulation, Problem Solving, Communication, Teamwork, Continuous Learning, Software Engineering, and Monitoring Tools. Specifically, this role uses API development and containerization using Flask, FastAPI, and Docker; databases including SQL (MSSQL, MySQL) and NoSQL (MongoDB); cloud platforms such as AWS / GCP (S3, Lambda, SageMaker); monitoring tools like Prometheus and Grafana; and ML frameworks like TensorFlow, PyTorch, and XGBoost. The open positions at Synergenhealth are on-site roles. This means that HR Associate, Associate Operations Analyst, and Machine Learning Engineer positions are based at the company's physical location. Here are some frequently asked questions about working at Synergenhealth and applying for these specific positions: 1. **What qualifications are required for the HR Associate position?** A Bachelor’s degree in human resources, Business Administration, or a related field is required. Knowledge of HR best practices and employment laws is an added advantage, along with the ability to handle confidential information with discretion and proficiency in MS Office applications. 2. **What skills are needed for the Associate Operations Analyst role?** Candidates should possess a strong "customer-first" mindset and a willingness to learn. Excellent knowledge of MS Excel and MS Word, the ability to handle complex operational challenges and unexpected situations, excellent command of spoken and written English, and the ability to work according to U.S. time zones and calendars are also required. 3. **What are the prerequisites for the Associate Operations Analyst position?** Graduates or undergraduates from any discipline are welcome to apply, including those with pending results. Candidates with 2–3 years of experience in the RCM industry are encouraged to apply. 4. **What are the required qualifications for the Machine Learning Engineer position?** A Bachelor’s degree in computer science, Data Science, Engineering, or a related field (a Master’s degree is an added advantage) is required. Approximately 1–2+ years of hands-on experience in machine learning engineering or software development with a focus on data or ML projects is needed, along with proven experience in developing machine learning models through professional or significant academic projects. Strong programming skills in Python and experience with machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn are also required. 5. **What skills and competencies are important for the Machine Learning Engineer role?** Technical skills including API development and containerization using Flask, FastAPI, and Docker; proficiency in databases like SQL (MSSQL, MySQL) and NoSQL (MongoDB); familiarity with cloud platforms such as AWS / GCP (S3, Lambda, SageMaker); experience with monitoring tools like Prometheus and Grafana; and experience with ML frameworks like TensorFlow, PyTorch, and XGBoost are essential. Furthermore, machine learning expertise with a strong understanding of machine learning algorithms, software engineering abilities, and proficiency in data handling are vital. Strong problem-solving skills, communication and teamwork abilities, and a commitment to continuous learning are also critical.