AI / MLOps Engineer

We are looking for an experienced AI / MLOps Engineer to help design, deploy and operate production-grade AI platforms and machine learning solutions. If you are passionate about Machine Learning, Cloud technologies, automation, and modern AI operations, we'd love to hear from you. Key

Design and implement scalable ML pipelines for training, deployment, and monitoring Automate data ingestion, preprocessing, and feature engineering workflows Integrate AI/ML models into enterprise applications and APIs Develop and maintain CI/CD pipelines for Machine Learning systems Monitor model performance, detect model drift, and automate retraining processes Deploy AI workloads using Docker and Kubernetes Ensure security, compliance, and operational excellence across AI services Collaborate closely with Data Scientists, DevOps Engineers, Software Developers, and business stakeholders Required Skills 3+ years of experience in AI/ML Engineering, MLOps, Machine Learning Engineering, or related roles Strong Python programming skills Experience deploying ML models into production environments Hands-on experience with Azure, AWS, or GCP Solid knowledge of Docker, Kubernetes, and CI/CD practices Experience with monitoring and observability tools Understanding of software engineering best practices and infrastructure automation Experience working in Agile environments Technologies We Use Python TensorFlow PyTorch Scikit-Learn M

Lflow Kubeflow Apache Airflow Docker Kubernetes Micros