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Machine Learning Engineer (Quality Assurance)

InovalonGurugram, India
On-site Full-time

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Experience Level

Mid to Senior

Qualifications

Key Responsibilities:Design, develop, test, deploy, and enhance software applications. Prioritize project deliverables and deadlines independently. Research and develop software solutions to enhance Inovalon's offerings. Lead the design and development of product features, focusing on scalability and user experience. Architect and deliver scalable multi-tiered applications utilizing modern programming languages and frameworks. Engage with stakeholders to gather requirements, participate in design reviews, and contribute to strategic planning for optimal user experiences. Comply with confidentiality, HIPAA, and regulatory requirements in all data handling. Uphold Inovalon's mission and policies to achieve operational success.

About the job

Founded in 1998, Inovalon is driven by the conviction that technology, particularly data, can revolutionize the healthcare ecosystem, enhancing both outcomes and economics. We are dedicated to empowering our clients with data-driven solutions that contribute to their success and, in turn, improve healthcare for everyone.

As a cohesive unit, we tackle the most pressing challenges in healthcare through our culture of inclusivity and innovation, delivering value not only to our clients but also to the millions of patients they serve.

Position Overview: As a Machine Learning Engineer specializing in Quality Assurance, you will spearhead the architecture, design, implementation, and deployment of complex, large-scale financial applications. You will manage the entire solution lifecycle, ensuring robust full-stack software development while addressing unique and intricate challenges at an accelerated pace using cutting-edge technologies to develop highly scalable solutions.

About Inovalon

Inovalon is a pioneering technology company committed to transforming the healthcare landscape through innovative data solutions. Our mission is to empower healthcare organizations by delivering actionable insights that drive better patient outcomes and economic efficiency.

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