AI/ML Engineer-3

New York City, New York 10010 Posted March 28th, 2026 Looking for more job opportunities? Click here! Job Type: Full Time Job Category: IT Job Description **Role\- AI/ML Engineer****Location\-Lebanon, NJ – 08833/ NY, NY – 10010(Onsite)****Full Time Employment** **Role Overview** We are looking for a skilled **AI/ML Engineer** to design, build, and deploy scalable machine learning solutions. The ideal candidate will have strong experience in **AWS ML ecosystem, MLOps, and production\-grade model deployment**, along with domain exposure in **Insurance (Claims, Underwriting, Fraud Detection)**. **Key Responsibilities** Design and develop end\-to\-end **machine learning pipelines** for training, validation, and deployment Build and manage ML workflows using **Amazon SageMaker** and AWS ML services Implement **MLOps best practices**, including CI/CD pipelines for ML models Deploy models as scalable **inference endpoints** and monitor performance in production Containerize ML applications using **Docker** and orchestrate using **Kubernetes (EKS preferred)** Collaborate with data scientists, data engineers, and business teams to translate requirements into ML solutions Optimize models for performance, scalability, and cost\-efficiency Ensure proper versioning, monitoring, and governance of ML models **Required Skills \& Qualifications** Strong experience with **Amazon SageMaker** and AWS ML services Hands\-on expertise in **MLOps**, including CI/CD for ML workflows Experience building **ML pipelines** (training, validation, deployment) Proficiency in **model deployment** and managing **real\-time/batch inference endpoints** Solid experience with **Docker** and containerization Hands\-on experience with **Kubernetes** and **Amazon EKS** Programming experience in **Python** and ML libraries (e.g., TensorFlow, PyTorch, Scikit\-learn) Experience with version control systems (Git) and automation tools Understanding of data engineering concepts and cloud architecture **Preferred Qualifications** Experience in the **Insurance domain**, including: Claims processing automation Underwriting risk models Fraud detection systems Familiarity with streaming/data pipeline tools (e.g., Kafka, Spark) Knowledge of monitoring tools for ML systems (e.g., model drift, performance tracking) Experience with Infrastructure as Code (Terraform/CloudFormation) Required Skills DEVOPS ENGINEER SENIOR EMAIL SECURITY ENGINEER