MLOps Engineer

1 week ago

Noida, India Prakhar Software Solutions Private Limited Full time

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)

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