7 Healthcare Leadership jobs in India

**Job Opportunity**

We are seeking a detail-oriented AR Caller to follow up on insurance claims with payers to ensure timely and accurate reimbursement.

The role involves analyzing claim denials, initiating appeals, and resolving outstanding balances by contacting insurance companies via phone.

• Experience: 1-2 years in AR calling (US healthcare)
• Skills: Strong knowledge of AR calling processes, denial management, and handling AR calls
• Knowledge: Healthcare payment processes, medical coding and billing terminology
• Certifications: In healthcare billing or coding
• Other: Ability to work independently and remotely

This position is ideal for individuals who possess strong communication and interpersonal skills, can work effectively in a remote environment, and have experience in AR calling and denial management.

Why You'll Love This Job

• Competitive compensation package
• Opportunity to work with a dynamic team
• Flexible work arrangements

Apply now and take the first step towards a rewarding career in healthcare revenue cycle management.

Senior Machine Learning Engineer – Healthcare Revenue Cycle Management (RCM)

Location: Hybrid- Chennai, India (Every Thursday Onsite)- Travel cost is reimbursed

Duration: Full Time

About BigRio:

BigRio is a remote-based, technology consulting firm headquartered in Boston, MA. We specialize in delivering advanced software solutions that include custom development, cloud data platforms, AI/ML integrations, and data analytics. With a diverse portfolio of clients across industries such as healthcare, biotech, fintech, and more, BigRio offers the opportunity to work on cutting-edge projects with a team of top-tier professionals.

About Job

We are seeking a Senior Machine Learning Engineer to join our team, focused on Revenue Cycle Management (RCM) , which streamlines claims, billing, and payment processes for healthcare providers. In this role, you’ll develop and deploy machine learning models that enhance and automate core RCM workflows. Your work will directly support enterprise-scale applications, with an emphasis on security, scalability, and maintainability through best practices.

About You

You’re a problem-solver who enjoys owning high-impact initiatives. You're excited about innovation in machine learning and stay current with evolving technologies. You bring hands-on experience in building, evaluating, and deploying models and can comfortably communicate across technical and non-technical audiences. Most importantly, you’re motivated by the opportunity to improve healthcare systems through smart, data-driven solutions.

About the Team

Our RCM product is central to the platform, supporting billions in revenue processing each year. The Data Science team works on challenging problems in automation and optimization using advanced ML techniques. We collaborate closely with engineering to deliver intelligent features that seamlessly integrate into our healthcare platform. The team also manages production-grade ML deployments using modern cloud tools.

Key Responsibilities

• Identify opportunities to apply machine learning to RCM workflows.
• Design, develop, and deploy ML-based production services.
• Adhere to and advocate for best practices in model development and engineering.
• Conduct rigorous testing and validation of models and code.
• Contribute to the development of internal tools and team standards.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
• 3–5 years of hands-on experience building, evaluating, and deploying ML models.
• Strong programming skills in Python, with proficiency in SQL and Unix environments.
• Experience with deep learning and neural network architectures (preferred).
• Familiarity with training and fine-tuning LLMs or generative AI models (bonus).
• Exposure to NLP or computer vision is a plus.
• Experience with AWS and tools such as Kubernetes, Kubeflow, or EKS is a bonus.
• Excellent communication skills, both written and verbal.

Equal Opportunity Statement

BigRio is an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, religion, national origin, sex, sexual orientation, gender identity, age, pregnancy, status as a qualified individual with disability, protected veteran status, or other protected characteristic as outlined by federal, state, or local laws. BigRio makes hiring decisions based solely on qualifications, merit, and business needs at the time. All qualified applicants will receive equal consideration for employment.

Senior Machine Learning Engineer – Healthcare Revenue Cycle Management (RCM)

Location: Hybrid- Chennai, India (Every Thursday Onsite)- Travel cost is reimbursed

Duration: Full Time

About BigRio:

BigRio is a remote-based, technology consulting firm headquartered in Boston, MA. We specialize in delivering advanced software solutions that include custom development, cloud data platforms, AI/ML integrations, and data analytics. With a diverse portfolio of clients across industries such as healthcare, biotech, fintech, and more, BigRio offers the opportunity to work on cutting-edge projects with a team of top-tier professionals.

About Job

We are seeking a Senior Machine Learning Engineer to join our team, focused on Revenue Cycle Management (RCM) , which streamlines claims, billing, and payment processes for healthcare providers. In this role, you’ll develop and deploy machine learning models that enhance and automate core RCM workflows. Your work will directly support enterprise-scale applications, with an emphasis on security, scalability, and maintainability through best practices.

About You

You’re a problem-solver who enjoys owning high-impact initiatives. You're excited about innovation in machine learning and stay current with evolving technologies. You bring hands-on experience in building, evaluating, and deploying models and can comfortably communicate across technical and non-technical audiences. Most importantly, you’re motivated by the opportunity to improve healthcare systems through smart, data-driven solutions.

About the Team

Our RCM product is central to the platform, supporting billions in revenue processing each year. The Data Science team works on challenging problems in automation and optimization using advanced ML techniques. We collaborate closely with engineering to deliver intelligent features that seamlessly integrate into our healthcare platform. The team also manages production-grade ML deployments using modern cloud tools.

Key Responsibilities

• Identify opportunities to apply machine learning to RCM workflows.
• Design, develop, and deploy ML-based production services.
• Adhere to and advocate for best practices in model development and engineering.
• Conduct rigorous testing and validation of models and code.
• Contribute to the development of internal tools and team standards.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
• 3–5 years of hands-on experience building, evaluating, and deploying ML models.
• Strong programming skills in Python, with proficiency in SQL and Unix environments.
• Experience with deep learning and neural network architectures (preferred).
• Familiarity with training and fine-tuning LLMs or generative AI models (bonus).
• Exposure to NLP or computer vision is a plus.
• Experience with AWS and tools such as Kubernetes, Kubeflow, or EKS is a bonus.
• Excellent communication skills, both written and verbal.

Equal Opportunity Statement

BigRio is an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, religion, national origin, sex, sexual orientation, gender identity, age, pregnancy, status as a qualified individual with disability, protected veteran status, or other protected characteristic as outlined by federal, state, or local laws. BigRio makes hiring decisions based solely on qualifications, merit, and business needs at the time. All qualified applicants will receive equal consideration for employment.

Senior Machine Learning Engineer – Healthcare Revenue Cycle Management (RCM)

Location: Hybrid- Chennai, India (Every Thursday Onsite)- Travel cost is reimbursed

Duration: Full Time

About BigRio:

BigRio is a remote-based, technology consulting firm headquartered in Boston, MA. We specialize in delivering advanced software solutions that include custom development, cloud data platforms, AI/ML integrations, and data analytics. With a diverse portfolio of clients across industries such as healthcare, biotech, fintech, and more, BigRio offers the opportunity to work on cutting-edge projects with a team of top-tier professionals.

About Job

We are seeking a Senior Machine Learning Engineer to join our team, focused on Revenue Cycle Management (RCM) , which streamlines claims, billing, and payment processes for healthcare providers. In this role, you’ll develop and deploy machine learning models that enhance and automate core RCM workflows. Your work will directly support enterprise-scale applications, with an emphasis on security, scalability, and maintainability through best practices.

About You

You’re a problem-solver who enjoys owning high-impact initiatives. You're excited about innovation in machine learning and stay current with evolving technologies. You bring hands-on experience in building, evaluating, and deploying models and can comfortably communicate across technical and non-technical audiences. Most importantly, you’re motivated by the opportunity to improve healthcare systems through smart, data-driven solutions.

About the Team

Our RCM product is central to the platform, supporting billions in revenue processing each year. The Data Science team works on challenging problems in automation and optimization using advanced ML techniques. We collaborate closely with engineering to deliver intelligent features that seamlessly integrate into our healthcare platform. The team also manages production-grade ML deployments using modern cloud tools.

Key Responsibilities

• Identify opportunities to apply machine learning to RCM workflows.
• Design, develop, and deploy ML-based production services.
• Adhere to and advocate for best practices in model development and engineering.
• Conduct rigorous testing and validation of models and code.
• Contribute to the development of internal tools and team standards.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
• 3–5 years of hands-on experience building, evaluating, and deploying ML models.
• Strong programming skills in Python, with proficiency in SQL and Unix environments.
• Experience with deep learning and neural network architectures (preferred).
• Familiarity with training and fine-tuning LLMs or generative AI models (bonus).
• Exposure to NLP or computer vision is a plus.
• Experience with AWS and tools such as Kubernetes, Kubeflow, or EKS is a bonus.
• Excellent communication skills, both written and verbal.

Equal Opportunity Statement

BigRio is an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, religion, national origin, sex, sexual orientation, gender identity, age, pregnancy, status as a qualified individual with disability, protected veteran status, or other protected characteristic as outlined by federal, state, or local laws. BigRio makes hiring decisions based solely on qualifications, merit, and business needs at the time. All qualified applicants will receive equal consideration for employment.

Roles/Responsibilities:

Understand the client requirements and specifications of the project.
Ensure that the deliverable to the client adhere to the quality standards.
Must be spontaneous and have high energy level.
A brief understanding on the entire Medical Billing Cycle.
Must possess good communication skill with neutral accent.
Must be flexible and should have a positive attitude towards work.
Must be willing to Work from Office
Abilities to absorb client business rules.

Hurry up and send CV to the email ID below or call on .

Walkin-

Date :- 12th April
Time :- 11:30am to 3pm

Getix Healthcare
4A, 2nd Floor, RMZ Eco space,
Outer Ring Road, Marathahalli, Bellandur,
Bangalore-, India

Contact: Sukanya

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