Assistant Manager, Data Analytics & Business Intelligence

Role Overview: You will be responsible for developing generative AI use cases and deploying machine learning models. Additionally, you will be building and maintaining private cloud infrastructure for AI/ML solutions, automating workflows, and improving system performance. Collaboration with teams to analyze and deliver AI application requirements will also be a key part of your role. Ensuring the security, scalability, and efficiency of cloud infrastructure will be essential. Key Responsibilities: - Develop generative AI use cases and deploy machine learning models. - Build and maintain private cloud infrastructure for AI/ML solutions. - Automate workflows and improve system performance. - Collaborate with teams to analyze and deliver AI application requirements. - Ensure security, scalability, and efficiency of cloud infrastructure. Qualifications Required: - Bachelor's degree in computer science or a related field. - Expertise in AWS, Databricks, Azure, and Python. - Experience with containerization (Docker, Kubernetes) and cloud-native tools (e.g., AWS Lambda). - Familiarity with data pipelines, ETL, and distributed computing. - Knowledge of infrastructure-as-code tools like Terraform or Azure Resource Manager. Additional Details: Amneal is an equal opportunity employer that values diversity and inclusion. They do not discriminate based on caste, religion, gender, disability, or any other legally protected status. Amneal believes in fostering a workplace that promotes equality and embraces individuals from all backgrounds.,