Principal,AI/MLEngineer

## ## Job Description: **Job Title** – **Principal, AI/ML Engineer** **The Purpose of This Role** We are looking for a highly experienced and technically proficient **Principal ML Engineer** to lead the development, deployment, and scaling of machine learning infrastructure and pipelines and ML based applications. This role is ideal for someone with a strong foundation in backend development, Kubernetes-based deployment, AWS cloud infrastructure, and MLOps practices. You will play a key role in bridging the gap between data science and production systems. **The Value you Deliver** **Key Responsibilities:** * Create, design and maintain AI ML based application * Design, build, and maintain scalable and secure **MLOps pipelines** using **AWS Sagemaker** for model training, validation, deployment, and monitoring * Develop and deploy APIs and backend services using **Python** , **FastAPI** , and **Spring Boot** * Manage containerized applications using **Kubernetes** and **Amazon EKS** * Implement CI/CD pipelines for ML workflows and application delivery * Collaborate with data scientists and Data Engineers to operationalize ML models in production * Utilize **AWS** services for infrastructure, automation, and monitoring * Ensure robust database integration and performance optimization * Contribute to UI development using **Angular** **The Skills that are Key to this Role** **Required Technical Skills:** * Expertise with **FastAPI** and/or **Java** **Spring Boot** for API development. * Deep expertise in **Kubernetes** and **Amazon EKS/Azure AKS.** * Strong programming skills in **Python.** * Hands-on experience with **Amazon SageMaker** , * Proficiency in **AWS** /Azure cloud services (e.g., EC2, S3, Lambda). * Understanding of **database fundamentals** (SQL/NoSQL) * Hands-on experience with **MLOps tools**. * Expertise with CI/CD tools and DevOps practices **Good to Have:** * Experience with **Angular** or other front-end frameworks * Exposure to data engineering and