ML Data Engineer

Job Description

Are you passionate about building scalable ML pipelines and deploying intelligent systems in the cloud? At Derisk360, we help transform businesses by combining AI expertise with deep domain knowledge. Were seeking a Senior ML Engineer to take our ML infrastructure to the next level using AWS SageMaker and state-of-the-art MLOps practices. What You ll Do: Develop, deploy, and manage ML models using AWS SageMaker, including pipelines, real-time endpoints, and batch transform jobs. Architect infrastructure using Infrastructure as Code (IAC) tools such as Terraform or AWS CloudFormation. Build robust, scalable solutions across real-time and batch systems with high reliability and performance. Design secure and scalable AWS networking environments tailored for ML workflows. Collaborate with data scientists, ML engineers, and DevOps to optimize model development and deployment pipelines. Contribute to automation, CI/CD pipelines, and monitoring strategies for ML systems. 7+ years of experience in software engineering, with at least 3+ years working on AWS SageMaker in production environments. Proficient in AWS services (EC2, S3, Lambda, IAM, VPC, CloudWatch) and deep understanding of AWS networking concepts. Solid experience with Terraform or CloudFormation for IAC implementation. Strong programming skills in Python and hands-on experience with ML frameworks like TensorFlow, PyTorch, or Scikit-learn. Familiarity with model training, evaluation, versioning, and operationalizing in cloud environments. Experience integrating ML workflows with data lakes or data pipelines. Exposure to MLOps practices including experiment tracking, model registry, and containerization (Docker). Understanding of security best practices in AWS for machine learning. What You ll Get: Competitive salary with performance-based bonuses Lead innovative ML projects with top-tier insurance and risk-tech clients Work in a tech-forward, collaborative environment Opportunities to grow within a high-impact, AI-focused team Access to complex cloud-native platforms and enterprise-grade ML systems