Job Title: AI/ML Engineer
Experience: 4-6 Years
Location: Hyderabad, India
Employment Type: Full-time
About NationsBenefits:
At NationsBenefits, we are leading the transformation of the insurance industry by developing innovative benefits management solutions. We focus on modernizing complex back-office systems to create scalable, secure, and high-performing platforms that streamline operations for our clients. As part of our strategic growth, we are focused on platform modernization — transitioning legacy systems to modern, cloud-native architectures that support the scalability, reliability, and high performance of core backoffice functions in the insurance domain.
Role Summary:
We are hiring an AI/ML Engineer with 4-6 years of hands-on experience in building and deploying AI/ML solutions.
The candidate should have strong practical exposure to model development, deployment, monitoring, and scalable AI
systems
Key Responsibilities:
• Develop and deploy AI/ML and Generative AI solutions for enterprise use cases.
• Build and maintain end-to-end ML pipelines from training to production deployment.
• Implement monitoring, observability, and performance tracking for AI systems.
• Work with APIs, vector databases, embeddings, and RAG-based applications.
• Collaborate with cross-functional teams to optimize scalable AI deployments.
Required Skills & Qualifications:
• Hands-on experience in Machine Learning, Deep Learning, and Generative AI.
• Strong Python, SQL, API development, and ML framework knowledge.
• Experience with MLOps, CI/CD pipelines, Docker, Kubernetes, and MLflow.
• Understanding of observability, monitoring, logging, and model drift detection.
• Experience with Azure Cloud Stack is a plus
Skills Required
- 4-6 years hands-on experience building and deploying AI/ML solutions
- Hands-on experience in Machine Learning, Deep Learning, and Generative AI
- Strong Python
- Strong SQL
- API development experience
- Knowledge of ML frameworks
- Experience with MLOps, CI/CD pipelines, Docker, Kubernetes, and MLflow
- Understanding of observability, monitoring, logging, and model drift detection
- Experience with vector databases, embeddings, and RAG-based applications
- Experience with Azure Cloud Stack
NationsBenefits Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NationsBenefits and has not been reviewed or approved by NationsBenefits.
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Fair & Transparent Compensation — Pay is frequently characterized as decent or good for certain entry-level and frontline roles, with timely pay also highlighted. Compensation is sometimes positioned as competitive relative to the work performed in those positions.
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Leave & Time Off Breadth — Unlimited PTO is described as available for some salaried roles, which can increase perceived flexibility. Paid holidays and paid time off are presented as part of the standard package for eligible employees.
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Wellbeing & Lifestyle Benefits — A fitness stipend and occasional company-sponsored outings or training-related perks are included among the extra benefits. These additions can modestly strengthen the overall rewards experience beyond core insurance.
NationsBenefits Insights
What We Do
NationsBenefits® is a leading supplemental benefits company providing managed care organizations with innovative healthcare solutions helping to promote independence, health, and well-being for more than 20 million members across the U.S. When the company was founded in 2015 by Glenn Parker, M.D., we set out to disrupt the healthcare industry. In 2020, we rebranded to NationsBenefits to expand the company’s core offering and broaden the scope of our clinically focused services. Today, we surpass traditional benefit management programs by helping our health plan partners drive growth, improve outcomes, reduce costs, and delight members. Our best-in-class service model engages members in meaningful and measurable ways with technology-based solutions tailored to the unique needs of each population.
