**Job Summary** The Sr. Developer role involves designing and implementing advanced solutions using Azure technologies and AI concepts. With a focus on bioinformatics the candidate will leverage their expertise in Azure Databricks Azure Data Factory and Azure ML Studio to drive innovation. This position requires a strong understanding of machine learning and artificial intelligence contributing to impactful projects within the company. **Responsibilities** + Develop and implement scalable solutions using Azure Databricks to enhance data processing capabilities. + Collaborate with cross-functional teams to integrate Azure Data Factory for seamless data workflows. + Utilize Azure ML Studio to design and deploy machine learning models that address complex bioinformatics challenges. + Apply ML Ops practices to ensure efficient model deployment and monitoring. + Implement containerization strategies using Docker to streamline application development and deployment. + Explore AI and ML concepts to innovate and improve existing processes. + Conduct research and development in machine learning and artificial intelligence to drive project success. + Manage Kubernetes clusters to ensure high availability and scalability of applications. + Utilize Terraform for infrastructure as code to automate resource provisioning. + Leverage Azure Machine Learning for advanced analytics and predictive modeling. + Collaborate with teams to ensure code versioning and collaboration using GIT. + Focus on bioinformatics domain to develop solutions that advance scientific research and healthcare. + Work from office during day shifts to ensure effective collaboration and project delivery. + Contribute to projects that have a significant impact on society by advancing bioinformatics research. Qualifications + Possess strong expertise in Azure Databricks and Azure Data Factory for data processing and integration. + Demonstrate proficiency in Azure ML Studio for designing machine learning models. + Have experience in ML Ops practices for efficient model deployment. + Show expertise in Docker for containerization and application deployment. + Understand AI and ML concepts for innovative solutions. + Have knowledge of Kubernetes for managing application clusters. + Experience with Terraform for infrastructure automation. + Proficiency in Azure Machine Learning for advanced analytics. + Familiarity with GIT for code versioning and collaboration. + Domain expertise in bioinformatics to drive impactful solutions. **Certifications Required** Azure Data Engineer Associate Azure AI Engineer Associate 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.