**Job Summary** As a Sr. Developer you will be instrumental in advancing our bioinformatics projects through cutting-edge AI and ML technologies. Your expertise in MLFlow Airflow and Google Vertex AI will drive innovative solutions. Collaborate with cross-functional teams to enhance machine learning operations and contribute to impactful research in bioinformatics. **Responsibilities** + Develop and implement machine learning models using MLFlow and Airflow to streamline bioinformatics workflows. + Collaborate with research teams to integrate generative AI solutions into bioinformatics applications. + Utilize Google Vertex AI to enhance the scalability and efficiency of machine learning models. + Apply ML Ops practices to ensure robust deployment and monitoring of AI models. + Leverage Docker and Kubernetes for containerization and orchestration of machine learning applications. + Utilize Terraform for infrastructure automation and management in cloud environments. + Employ GIT for version control and collaboration on bioinformatics projects. + Apply AI and ML concepts to solve complex problems in the bioinformatics domain. + Conduct research and development to advance the application of artificial intelligence in bioinformatics. + Optimize machine learning algorithms for performance and accuracy in bioinformatics data analysis. + Collaborate with cross-functional teams to ensure seamless integration of AI solutions into existing systems. + Provide technical guidance and support to junior developers in AI and ML projects. + Contribute to the companys mission by advancing bioinformatics research and improving healthcare outcomes. Qualifications + Possess strong expertise in MLFlow Airflow and Google Vertex AI for developing scalable AI solutions. + Demonstrate proficiency in ML Ops practices for effective deployment and monitoring of models. + Have experience with Docker and Kubernetes for efficient containerization and orchestration. + Show capability in using Terraform for cloud infrastructure management. + Exhibit proficiency in GIT for collaborative development and version control. + Have a solid understanding of AI and ML concepts applicable to bioinformatics. + Possess domain expertise in bioinformatics to drive impactful research and solutions. **Certifications Required** Google Cloud Professional Machine Learning Engineer Certified Kubernetes Administrator Cognizant is an equal opportunity employer that embraces diversity, champions equity and values inclusion. We are dedicated to nurturing a community where everyone feels heard, accepted and welcome. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws.