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MLOps Engineer
4 weeks ago
Position : MLOps Engineer.
Experience : 7+ Years.
Location : Noida / Bengaluru.
Work Mode : Hybrid (Work From Office).
Job Description :
We are seeking a highly skilled and experienced MLOps Engineer with a strong background in machine learning infrastructure, DevOps practices, and cloud-native technologies.
The ideal candidate will have over 7 years of relevant experience and a deep understanding of the end-to-end machine learning lifecycle, including data pipelines, model training, deployment, and monitoring.
Key Responsibilities :
- Design, build, and manage scalable MLOps pipelines and infrastructure to support machine learning model development and deployment.
- Collaborate with Data Scientists, Engineers, and Product teams to ensure seamless integration of ML models into production systems.
- Develop and maintain CI/CD workflows for ML applications using tools such as Jenkins, GitLab CI, etc.
- Manage containerized applications using Docker and orchestrate deployments with Kubernetes.
- Automate model serving, monitoring, and performance tracking in production environments.
- Troubleshoot and resolve complex production issues related to ML infrastructure.
Qualifications :
- Bachelors or Masters degree in Computer Science, Engineering, or a related field.
- Proven experience working with cloud platforms such as AWS, Google Cloud Platform (GCP), or Microsoft Azure.
- Proficiency in Python, Shell scripting, and familiarity with ML/DL frameworks such as TensorFlow, PyTorch, and Keras.
- Experience with deep learning techniques and generative AI frameworks is highly desirable.
- Strong understanding of DevOps principles and tools used in continuous integration and continuous delivery (CI/CD).
- Prior experience in roles such as Platform Engineer, ML DevOps Engineer, or Data Engineer is preferred.
- Strong software engineering skills, especially in multi-language and complex system environments.
- Excellent analytical, problem-solving, and troubleshooting skills.
- Strong interpersonal and communication skills with the ability to work collaboratively across teams.
(ref:hirist.tech)