Principal Algorithm Developer - Viz.Ai

Design, develop, implement, and evaluate robust, scalable AI algorithms and agentic workflows & infrastructure, tailored to real-world challenges in clinical settings. Prepare, process, and analyze complex medical data to support algorithm development and validation. Ensure the reliability, performance, and accuracy of algorithms in production, including troubleshooting, testing, monitoring, and continuous improvement. Collaborate closely with Product Managers and Clinical Specialists to translate clinical and business needs into data-driven solutions. Research, develop and integrate Large Language Models (LLMs) to extract insights from medical texts and develop intelligent agents for optimized clinical decision support. Lead development and drive technical decisions that impact your technical domain and related systems across the organization. Mentor and develop algorithm developers through technical guidance & design reviews. Stay up to date with cutting-edge advancements in GenAI, LLMs, and Deep Learning. Organize and actively participate in seminars, book clubs, and conferences. NLP/LLMs:Pydantic, Hugging Face Transformers, spaCy, Amazon Bedrock Infrastructure:AWS, Docker Programming Languages:Python Deep Learning Frameworks:TensorFlow, Keras, Pytorch Minimum of 10 years of hands-on experience in algorithm development using Python A strong foundation in software engineering principles and clean, efficient coding practices. Extensive experience with NLP, LLMs, RAG, prompt engineering, and agentic workflows Experience in the deployment, delivery, and maintenance of AI algorithms in real-world production environments Experience in developing and deploying deep learning models (CNNs, ViTs, VLMs) for medical data classification, segmentation, and object detection tasks. Strong interpersonal and leadership skills; a team player who can work effectively in a cross-functional environment involving product managers, clinicians, and fellow engineers. Experience with AWS Experience in the medical domain M.Sc. or higher in Computer Science or a related scientific discipline. If you are looking to make an impact, we are mission-driven and are making a difference in peoples’ lives every day. If you want to be a part of an amazing team , our people are the heart of everything we do. If you are a self-starter and naturally motivated, our work is driven by curiosity, innovation and team collaboration which allows us to leverage our skills immeasurably.

Design, develop, implement, and evaluate robust, scalable AI algorithms and agentic workflows & infrastructure, tailored to real-world challenges in clinical settings. Prepare, process, and analyze complex medical data to support algorithm development and validation. Ensure the reliability, performance, and accuracy of algorithms in production, including troubleshooting, testing, monitoring, and continuous improvement. Collaborate closely with Product Managers and Clinical Specialists to translate clinical and business needs into data-driven solutions. Research, develop and integrate Large Language Models (LLMs) to extract insights from medical texts and develop intelligent agents for optimized clinical decision support. Lead development and drive technical decisions that impact your technical domain and related systems across the organization. Mentor and develop algorithm developers through technical guidance & design reviews. Stay up to date with cutting-edge advancements in GenAI, LLMs, and Deep Learning. Organize and actively participate in seminars, book clubs, and conferences. NLP/LLMs:Pydantic, Hugging Face Transformers, spaCy, Amazon Bedrock Infrastructure:AWS, Docker Programming Languages:Python Deep Learning Frameworks:TensorFlow, Keras, Pytorch Minimum of 10 years of hands-on experience in algorithm development using Python A strong foundation in software engineering principles and clean, efficient coding practices. Extensive experience with NLP, LLMs, RAG, prompt engineering, and agentic workflows Experience in the deployment, delivery, and maintenance of AI algorithms in real-world production environments Experience in developing and deploying deep learning models (CNNs, ViTs, VLMs) for medical data classification, segmentation, and object detection tasks. Strong interpersonal and leadership skills; a team player who can work effectively in a cross-functional environment involving product managers, clinicians, and fellow engineers. Experience with AWS Experience in the medical domain M.Sc. or higher in Computer Science or a related scientific discipline. If you are looking to make an impact, we are mission-driven and are making a difference in peoples’ lives every day. If you want to be a part of an amazing team , our people are the heart of everything we do. If you are a self-starter and naturally motivated, our work is driven by curiosity, innovation and team collaboration which allows us to leverage our skills immeasurably.

Design, develop, implement, and evaluate robust, scalable AI algorithms and agentic workflows & infrastructure, tailored to real-world challenges in clinical settings. Prepare, process, and analyze complex medical data to support algorithm development and validation. Ensure the reliability, performance, and accuracy of algorithms in production, including troubleshooting, testing, monitoring, and continuous improvement. Collaborate closely with Product Managers and Clinical Specialists to translate clinical and business needs into data-driven solutions. Research, develop and integrate Large Language Models (LLMs) to extract insights from medical texts and develop intelligent agents for optimized clinical decision support. Lead development and drive technical decisions that impact your technical domain and related systems across the organization. Mentor and develop algorithm developers through technical guidance & design reviews. Stay up to date with cutting-edge advancements in GenAI, LLMs, and Deep Learning. Organize and actively participate in seminars, book clubs, and conferences. NLP/LLMs:Pydantic, Hugging Face Transformers, spaCy, Amazon Bedrock Infrastructure:AWS, Docker Programming Languages:Python Deep Learning Frameworks:TensorFlow, Keras, Pytorch Minimum of 10 years of hands-on experience in algorithm development using Python A strong foundation in software engineering principles and clean, efficient coding practices. Extensive experience with NLP, LLMs, RAG, prompt engineering, and agentic workflows Experience in the deployment, delivery, and maintenance of AI algorithms in real-world production environments Experience in developing and deploying deep learning models (CNNs, ViTs, VLMs) for medical data classification, segmentation, and object detection tasks. Strong interpersonal and leadership skills; a team player who can work effectively in a cross-functional environment involving product managers, clinicians, and fellow engineers. Experience with AWS Experience in the medical domain M.Sc. or higher in Computer Science or a related scientific discipline. If you are looking to make an impact, we are mission-driven and are making a difference in peoples’ lives every day. If you want to be a part of an amazing team , our people are the heart of everything we do. If you are a self-starter and naturally motivated, our work is driven by curiosity, innovation and team collaboration which allows us to leverage our skills immeasurably.