Description :

Position : MLOps Engineer

Experience : 7+ Years

Location : 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