Company Description Every day, thousands of patients across India face delays, stress, and reduced quality of care due to cumbersome administrative processes and insurance claim challenges. At Vitraya, we directly confront these issues by using advanced AI to streamline healthcare operations, eliminate administrative friction, and ensure healthcare providers can fully focus on patient outcomes. Role Description This is a full-time role for a Senior Fullstack AI/ML Engineer. The selected candidate will be responsible for designing, developing, and implementing AI and machine learning models, with a focus on pattern recognition and neural networks. Daily tasks include coding and software development, data analysis, and improving existing algorithms. The Senior Fullstack AI/ML Engineer will work closely with cross-functional teams to ensure the integration of AI solutions into the claims settlement process. We are looking for a passionate Senior AI/ML Engineer committed to building transformative solutions that positively impact patient care and healthcare delivery. Responsibilities Lead the design, development, and deployment of machine learning models for various use cases such as recommendation systems, computer vision, natural language processing (NLP), and predictive analytics. Work with large datasets to build, train, and optimize models using techniques such as classification, regression, clustering, and neural networks. Fine-tune pre-trained models and develop custom models based on specific business needs. Collaborate with data engineers to build scalable data pipelines and ensure the smooth integration of models into production. Collaborate with frontend/backend engineers to build AI-driven features into products or platforms. Build proof-of-concept or production-grade AI applications and tools with intuitive UIs or workflows. Ensure scalability and performance of deployed AI solutions within the full application stack. Implement model monitoring and maintenance strategies to ensure performance, accuracy, and continuous improvement of deployed models. Design and implement APIs or services that expose machine learning models to frontend or other systems Utilize cloud platforms (AWS, GCP, Azure) to deploy, manage, and scale AI/ML solutions. Stay up-to-date with the latest advancements in AI/ML research, and apply innovative techniques to improve existing systems. Communicate effectively with stakeholders to understand business requirements and translate them into AI/ML-driven solutions. Document processes, methodologies, and results for future reference and reproducibility. Why Join Us: Direct Patient Impact: Your contributions will significantly enhance patient care quality and reduce administrative burdens on healthcare providers. Innovation with Real Outcomes: Be part of pioneering AI applications that provide tangible, measurable improvements in healthcare. Professional Growth: Tackle unique, meaningful challenges that will sharpen your skills and offer growth in a supportive, collaborative environment. Empowered Team: Enjoy autonomy, flexibility, and the chance to influence core product decisions as part of a dedicated, mission-driven team. Required Skills & Qualifications • Experience: 5+ years of experience in AI/ML engineering roles, with a proven track record of successfully delivering machine learning projects. • AI/ML Expertise: Strong knowledge of machine learning algorithms (supervised, unsupervised, reinforcement learning) and AI techniques, including NLP, computer vision, and recommendation systems. • Programming Languages: Proficient in Python and relevant ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras. • Data Manipulation: Experience with data manipulation libraries such as Pandas, NumPy, and SQL for managing and processing large datasets. • Model Development: Expertise in building, training, deploying, and fine-tuning machine learning models in production environments. • Cloud Platforms: Experience with cloud platforms such as AWS, GCP, or Azure for the deployment and scaling of AI/ML models. • MLOps: Knowledge of MLOps practices for model versioning, automation, and monitoring. • Data Preprocessing: Proficient in data cleaning, feature engineering, and preparing datasets for model training. Nice to Have Experience with deep learning architectures (CNNs, RNNs, GANs, etc.) and techniques. Knowledge of deployment strategies for AI models using APIs, Docker, or Kubernetes. Experience building full-stack applications powered by AI (e.g., chatbots, recommendation dashboards, AI assistants, etc.). Experience deploying AI/ML models in real-time environments using API gateways, microservices, or orchestration tools like Docker and Kubernetes. Solid understanding of statistics and probability. Experience working in Agile development environments. Show more Show less

Company Description We at Vitraya, quietly building something at the intersection of AI, insurance, and healthcare claims, Hospitals lose thousands of crores every year due to denied or delayed claims and with increasing govt spending, the figure going to be crazy high. As a technology-first company, we're solving critical challenges in the Indian healthcare market, including lack of transparency, high rejection rates, and inefficient claims processing. Our mission is to transform how hospitals & insurance manage their claims processing, enabling them to focus on what matters most—patient care & experience Role Description You will be the clinical cornerstone of our revenue cycle operations, leading a specialized team of medical experts who bridge the gap between clinical documentation and financial outcomes. You will harness your medical expertise and leadership abilities to ensure clinical accuracy in claims processing, minimize denials through expert medical validation by helping us build cutting edge tools and services, and build trust-based relationships with healthcare providers, insurance partners, and government schemes. This role demands a unique blend of clinical knowledge, operational leadership, and technological adaptability—all while embodying our core values of empathy and compassion. You'll be instrumental in transforming how hospitals in India manage their claims, ultimately improving healthcare accessibility and financial transparency for patients. This is a role for the curious and forward-thinking medical professional who is excited about how AI and technology are reshaping healthcare operations and wants to be at the forefront of this transformation. Key Responsibilities Clinical Leadership & Team Management •Lead, mentor, and develop a high-performing team of medical experts •Establish clinical standards and protocols for claim validation, documentation review, and denial prevention •Oversee the clinical training and continuous education of medical experts, ensuring they stay current with coding guidelines and medical necessity criteria •Foster a culture of clinical excellence, attention to detail, and continuous improvement •Manage team performance through data-driven metrics while maintaining quality standards •Coordinate seamlessly between on-ground medical experts and remote team members across our locations •Autonomously build and scale your team with minimal oversight, demonstrating your ability as a self-starter and natural leader Clinical Claim Validation & Denial Management •Serve as the ultimate clinical authority for complex claim reviews, providing expert medical opinions on challenging cases •Develop and implement clinical documentation improvement strategies to prevent denials and optimize reimbursement •Collaborate with hospital clinical teams to resolve documentation gaps and clinical queries •Lead the clinical aspects of appeals management, providing compelling medical justification for overturning denials •Establish trusted relationships with medical reviewers at insurance companies and government schemes •Conduct regular clinical audits to identify patterns in denials and implement preventive measures Technology Integration & Innovation •Partner with our technology team to enhance our AI prediction engine for identifying potential denial flags •Provide clinical expertise for the development and refinement of our AI Engines and LLMs •Champion the adoption of AI-assisted clinical documentation review tools among your team •Develop clinical decision support frameworks that can be integrated into our technology platform •Identify opportunities for automation in clinical validation processes while maintaining quality and compliance •Translate complex clinical concepts into structured data elements that can be leveraged by our technology systems •Demonstrate curiosity and enthusiasm for how AI is reshaping medical claim processing, contributing ideas for technological innovation Market-Facing & Thought Leadership •Serve as a spokesperson for us at industry events, webinars, and conferences •Participate in sales presentations to showcase clinical expertise and build credibility with potential hospital partners •Create and deliver educational content on best practices in clinical documentation and denial prevention •Conduct webinars and training sessions for hospital partners on optimizing clinical documentation for claims •Contribute to thought leadership content, including articles, white papers, and case studies •Represent our brand clinical perspective in media interactions and PR opportunities •Build relationships with key opinion leaders in the healthcare industry Qualifications & Experience Required Qualifications •Medical degree (MBBS, BDS, BHMS, or equivalent) with valid registration •7+ years of clinical experience, with at least 3 years in healthcare administration, revenue cycle management, or related fields •Proven experience managing teams of medical professionals in a performance-driven environment •Strong understanding of medical coding, clinical documentation requirements, and healthcare reimbursement •Experience with both government healthcare schemes (MAA, PMJAY, RGHS, CGHS) and private insurance in India •Demonstrated ability to translate clinical knowledge into operational excellence •Excellent communication skills with the ability to explain complex medical concepts to diverse stakeholders •Demonstrated ability to operate autonomously and drive results with minimal supervision Preferred Qualifications •Additional qualifications in healthcare management, health informatics, or related fields •Experience with AI-assisted clinical documentation or coding systems •Background in clinical denial management and appeals •Experience working with multiple medical specialties and case types •Knowledge of healthcare technology platforms and electronic medical records •History of implementing clinical quality improvement initiatives •Experience in startup or high-growth environments •Public speaking experience, including presentations, webinars, or conference talks •Experience participating in sales processes or business development activities Core Competencies Clinical & Technical Expertise •Deep understanding of clinical documentation requirements across specialties •Knowledge of medical necessity criteria and evidence-based practice •Familiarity with ICD-10, CPT/HCPCS coding principles •Understanding of healthcare reimbursement methodologies •Ability to leverage technology for clinical decision support •Aptitude for translating clinical knowledge into operational processes •Curiosity and enthusiasm for AI and emerging 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