We are seeking a skilled Machine Learning Ops Engineer with 4-5 years of experience to design, deploy, and maintain scalable machine learning systems in production. The ideal candidate will have hands-on experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn, along with solid expertise in cloud platforms (AWS, Azure, or GCP) and containerization technologies like Docker and Kubernetes.

Job Description

Role & responsibilities :
- Design, implement and maintain ML pipelines for model training, validation, and deployment
- Automate model training, testing and deployment (CI/CD of ML models)
- Monitor model performance, data drift, and system health in production environments.
- Deploy models in pre-prod, prod environments.
- Collaborate with data scientists to operationalize machine learning models and algorithms
- Implement version control for models, datasets, and ML experiments using MLOps tools
- Optimize ML infrastructure for scalability, reliability, and cost-effectiveness




- Troubleshoot and resolve issues related to model deployment and production systems
- Maintain documentation for ML workflows, deployment processes, and system architecture
- This position may require availability outside of standard business hours as part of a rotational on-call schedule.

Preferred candidate profile
- 4 -5 years of experience in software development, DevOps, or data engineering
- Proficiency in Python, SQL, and at least one ML framework such as TensorFlow, PyTorch, Scikit-learn
- Experience with containerization (Docker) and orchestration tools (Kubernetes)
- Knowledge of cloud platforms such as AWS, Azure, GCP and their ML services
- Understanding of CI/CD pipelines, version control (Git), and infrastructure as code
- Familiarity with monitoring tools and logging frameworks for production systems
- Experience with data pipeline tools such as Apache Airflow, Kubeflow, or similar
- Strong problem-solving skills and ability to work in fast-paced, collabo

📌 Software Engineer MLOps (Bengaluru)
🏢 Netsmart Technologies
📍 Bengaluru