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Full Stack Developer (.Net & AI/ML)

United States - Remote

Point C is a National third-party administrator (TPA) with local market presence that delivers customized self-funded benefit programs. Our commitment and partnership means thinking beyond the typical solutions in the market – to do more for clients – and take them beyond the standard “Point A to Point B.” We have researched the most effective cost containment strategies and are driving down the cost of plans with innovative solutions such as, network and payment integrity, pharmacy benefits and care management. There are many companies with a mission. We are a mission with a company.

The Full Stack Developer (.Net & AI/ML) is a hybrid role that combines expertise in machine learning, data science, and full-stack web development. This individual will be responsible for designing and implementing intelligent solutions that leverage both advanced analytics and modern web technologies. The ideal candidate will bring hands-on experience with .NET, Angular, and Python, and a strong background in building scalable web applications and deploying AI/ML models to solve complex business challenges.

Key Responsibilities:

  • Develop and maintain scalable web applications using .NET Core and Angular.

  • Build, deploy, and maintain RESTful APIs to support web and machine learning applications.

  • Design, develop, and deploy machine learning models and algorithms for use cases such as predictive analytics, NLP, and computer vision.

  • Clean, transform, and analyze large datasets to support model training and performance optimization.

  • Collaborate cross-functionally with engineering, product, and business teams to translate requirements into scalable solutions.

  • Contribute to cloud-based architecture and deployment, particularly within Azure environments.

  • Document technical solutions and communicate complex findings clearly to both technical and non-technical audiences.

Required Qualifications:

  • 3 - 5 years experience in .NET Core, Angular, C#, TypeScript, and Python.

  • 3 - 5 years in data science and machine learning, including supervised/unsupervised learning, model evaluation, and deep learning frameworks (e.g., TensorFlow, PyTorch).

  • 1 - 2 years experience with cloud platforms, preferably Microsoft Azure.

  • 1 - 2 years of relational and NoSQL databases (e.g., SQL Server, MongoDB).

  • Demonstrated ability to manage multiple tasks and prioritize effectively in a fast-paced environment.

  • Excellent written and verbal communication skills.

Preferred Qualifications:

  • Prior experience deploying ML models into production environments.

  • Familiarity with MLOps practices and tools.

  • Experience working in a healthcare or highly regulated environment.

Individual compensation will be commensurate with the candidate's experience and qualifications. Certain roles may be eligible for additional compensation, including bonuses, and merit increases. Additionally, certain roles have the opportunity to receive sales commissions that are based on the terms of the sales commission plan applicable to the role.

Pay Transparency

$125,000 - $150,000 USD

Benefits:
  • Comprehensive medical, dental, vision, and life insurance coverage
  • 401(k) retirement plan with employer match
  • Health Savings Account (HSA) & Flexible Spending Accounts (FSAs)
  • Paid time off (PTO) and disability leave
  • Employee Assistance Program (EAP)

 

Equal Employment Opportunity: At Point C Health, we know we are better together. We value, respect, and protect the uniqueness each of us brings. Innovation flourishes by including all voices and makes our business—and our society—stronger. Point C Health is an equal opportunity employer and we are committed to providing equal opportunity in all of our employment practices, including selection, hiring, performance management, promotion, transfer, compensation, benefits, education, training, social, and recreational activities to all persons regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, genetic information, pregnancy, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, and military and veteran status, or any other protected status protected by local, state or federal law.

 

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