Job description JOB TITLE: DIRECTOR, HEALTH AI ENGINEERING LOCATION: Noida / Delhi India (Relocation package available for outstation candidate) Cancard Inc and Advaa Health are seeking an experienced, engaged, and hands-on, AI technologist with digital health and US EHR experience for the role of Director, Software Engineer - Computer Vision and Edge AI. This role will be pivotal in driving development, launch, and successfully commercializing an innovative portfolio of AI based digital healthcare products for global markets. Cancard Inc has been a multi-technology company based in Markham (Toronto) since 1989. Both Cancard and its sister company, Advaa Health, are at the forefront of transforming primary healthcare through technological innovation. Our mission is to empower primary care physicians with state-of-the-art digital tools and solutions that streamline their practices and significantly reduce administrative burdens and operational costs. Amidst increasing paperwork and complex administrative tasks faced by healthcare professionals, we serve as a key partner, enabling physicians to focus on patient care. Our healthcare product portfolio leverages cutting-edge technologies in data analytics, artificial intelligence, and cloud computing to offer seamless, intuitive, and cost-effective solutions. By integrating our systems, primary care practices can enhance patient engagement, optimize appointment scheduling, automate billing and coding processes, and access comprehensive patient health records in real-time. These advancements not only improve the quality of care provided but also contribute to a significant reduction in overhead costs. As we continue to innovate at the intersection of technology and healthcare, our vision is to become the leading AI digital health company that revolutionizes primary care practices worldwide. We are dedicated to creating a future where healthcare is accessible, affordable, and above all, centered around the well-being of patients. This position offers a unique opportunity for senior AI technologist who are passionate about solving critical healthcare challenges to learn and grow within the company. The role provides direct experience and exposure to customers in the US, Canada, and other global markets. KEY RESPONSIBILITIES: 1. Lead Design and Development: Spearhead the architecture, design, and development of advanced healthcare applications using Java and Angular, focusing on crafting scalable and efficient solutions that meet the evolving needs of the healthcare industry. Apply best practices in software design patterns and coding standards to ensure the production of high-quality code. 2. Implementation of Healthcare Standards: Integrate and ensure compliance with healthcare interoperability standards, including HL7 (Health Level Seven) and FHIR (Fast Healthcare Interoperability Resources), to facilitate seamless data exchange and communication between different healthcare systems and applications. Work closely with healthcare professionals and stakeholders to understand clinical workflows and requirements, ensuring the developed solutions effectively address their needs. 3. Microservice, AWS Cloud Design and Deployment: Design cloud-native solutions and migrate existing applications to AWS, leveraging a range of AWS services to optimize for performance, reliability, security, and cost. Implement robust security measures and data protection practices to safeguard sensitive healthcare information, adhering to HIPAA and other relevant regulations. 4. Cross-functional Collaboration: Collaborate with product managers, designers, QA engineers, and other stakeholders throughout the software development life cycle to gather requirements, refine features, and troubleshoot issues. Participate in agile ceremonies, such as sprint planning, stand-ups, and retrospectives, contributing to the continuous improvement of the teams processes and outputs. 5. Mentorship and Knowledge Sharing: Act as a mentor to junior developers, providing guidance and support in their professional devel

Job description Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities: read more Key Skills Skills highlighted with ‘‘ are preferred keyskills Node.JsReact.JsMicroservices REST API

Job description Lead AI Architect: We are seeking a highly skilled AI Architect to lead our team in developing cutting-edge generative AI solutions. This role requires a deep understanding of AI/ML concepts, strong technical expertise, and exceptional leadership abilities. As the Lead AI Architect, you will be the technical authority responsible for defining the strategy, architecture, and execution of cutting-edge generative AI initiatives. You will lead a talented team, driving the development of innovative solutions from concept through production deployment. This role demands a deep understanding of state-of-the-art AI models, advanced techniques like Retrieval-Augmented Generation (RAG) and fine-tuning, robust MLOps practices, and scalable cloud deployment strategies Role & responsibilities 1. Technical Vision & Architecture: a. Define and champion the technical vision and architectural roadmap for generative AI solutions (LLMs, Diffusion Models, Multimodal Models, etc.). b. Design, architect, and guide the development of sophisticated generative AI systems, incorporating techniques like fine-tuning, prompt engineering, and Reinforcement Learning from Human Feedback (RLHF). c. Architect and implement advanced Retrieval-Augmented Generation (RAG) pipelines, including vector database selection/optimization, chunking strategies, and multimodal RAG approaches. d. Ensure solutions are scalable, performant, cost-effective, reliable, and adhere to responsible AI principles (fairness, transparency, security). e. Stay relentlessly current with academic research and industry advancements in generative AI, MLOps, and related technologies, integrating relevant innovations. 2. MLOps & Lifecycle Management: a. Lead the design and implementation of robust MLOps pipelines for the entire generative AI lifecycle: data ingestion/preprocessing, model training/fine-tuning, validation, versioning (data, code, models), automated deployment, and continuous monitoring. Job Opening b. Establish best practices for model evaluation, performance tracking, drift detection, and ongoing optimization of generative models in production. c. Champion automation, reproducibility, and governance across all AI/ML workflows. 3. Deployment & Integration: a. Oversee the deployment of fine-tuned models and complex AI systems into scalable production environments using cloud platforms (AWS, GCP, Azure, potentially NVIDIA AI Enterprise). b. Design and implement containerized deployments (Docker, Kubernetes) and serverless architectures for AI model serving. c. Develop robust APIs (RESTful, gRPC) for seamless integration of AI capabilities into broader applications and services. d. Optimize models for inference speed and cost efficiency. 4. Leadership & Collaboration: a. Lead, mentor, and inspire a team of AI/ML engineers and data scientists. b. Collaborate closely with product managers, software engineers, data engineers, and business stakeholders to translate requirements into actionable AI strategies and technical designs. c. Effectively communicate complex technical concepts, architectural decisions, and project status to both technical and non-technical audiences, including executive leadership. d. Foster a culture of innovation, experimentation, and continuous improvement within the AI team Preferred candidate profile : • Typically 8-10+ years of hands-on experience in designing, building, and deploying production-grade AI/ML systems, with a significant recent focus (3+ years) on Generative AI. • Generative AI Expertise: Deep understanding and practical experience with foundational models (e.g., GPT series, Llama series, Stable Diffusion, multimodal models), transformer architectures, and key techniques like fine-tuning, prompt engineering, and RAG. • RAG Proficiency: Proven experience architecting and implementing RAG systems, including familiarity with vector databases (e.g., Pinecone, Weaviate, Milvus, ChromaDB) and embedding techniques. • MLOps Mastery: Demonstrable experience designing, building, and managing end-to-end MLOps pipelines

Job description JOB TITLE: DIRECTOR, HEALTH AI ENGINEERING LOCATION: Noida / Delhi India (Relocation package available for outstation candidate) Cancard Inc and Advaa Health are seeking an experienced, engaged, and hands-on, AI technologist with digital health and US EHR experience for the role of Director, Software Engineer - Computer Vision and Edge AI. This role will be pivotal in driving development, launch, and successfully commercializing an innovative portfolio of AI based digital healthcare products for global markets. Cancard Inc has been a multi-technology company based in Markham (Toronto) since 1989. Both Cancard and its sister company, Advaa Health, are at the forefront of transforming primary healthcare through technological innovation. Our mission is to empower primary care physicians with state-of-the-art digital tools and solutions that streamline their practices and significantly reduce administrative burdens and operational costs. Amidst increasing paperwork and complex administrative tasks faced by healthcare professionals, we serve as a key partner, enabling physicians to focus on patient care. Our healthcare product portfolio leverages cutting-edge technologies in data analytics, artificial intelligence, and cloud computing to offer seamless, intuitive, and cost-effective solutions. By integrating our systems, primary care practices can enhance patient engagement, optimize appointment scheduling, automate billing and coding processes, and access comprehensive patient health records in real-time. These advancements not only improve the quality of care provided but also contribute to a significant reduction in overhead costs. As we continue to innovate at the intersection of technology and healthcare, our vision is to become the leading AI digital health company that revolutionizes primary care practices worldwide. We are dedicated to creating a future where healthcare is accessible, affordable, and above all, centered around the well-being of patients. This position offers a unique opportunity for senior AI technologist who are passionate about solving critical healthcare challenges to learn and grow within the company. The role provides direct experience and exposure to customers in the US, Canada, and other global markets. KEY RESPONSIBILITIES: 1. Lead Design and Development: Spearhead the architecture, design, and development of advanced healthcare applications using Java and Angular, focusing on crafting scalable and efficient solutions that meet the evolving needs of the healthcare industry. Apply best practices in software design patterns and coding standards to ensure the production of high-quality code. 2. Implementation of Healthcare Standards: Integrate and ensure compliance with healthcare interoperability standards, including HL7 (Health Level Seven) and FHIR (Fast Healthcare Interoperability Resources), to facilitate seamless data exchange and communication between different healthcare systems and applications. Work closely with healthcare professionals and stakeholders to understand clinical workflows and requirements, ensuring the developed solutions effectively address their needs. 3. Microservice, AWS Cloud Design and Deployment: Design cloud-native solutions and migrate existing applications to AWS, leveraging a range of AWS services to optimize for performance, reliability, security, and cost. Implement robust security measures and data protection practices to safeguard sensitive healthcare information, adhering to HIPAA and other relevant regulations. 4. Cross-functional Collaboration: Collaborate with product managers, designers, QA engineers, and other stakeholders throughout the software development life cycle to gather requirements, refine features, and troubleshoot issues. Participate in agile ceremonies, such as sprint planning, stand-ups, and retrospectives, contributing to the continuous improvement of the teams processes and outputs. 5. Mentorship and Knowledge Sharing: Act as a mentor to junior developers, providing guidance and support in their professional devel