ml ops.

We are driven by the belief that data, when harnessed intelligently, has the power to
revolutionize industries, driving growth and efficiency. Join us in revolutionizing the world
of data analytics/AI/ML.Job DescriptionWe are seeking an experienced Senior MLOps Engineer with a minimum of 5 years of
hands-on experience in MLOps, DevOps, or related roles. The ideal candidate will have
a strong background in deploying and managing machine learning models, proficiency
in programming languages such as Python, and experience with ML libraries. This role
involves working with cloud platforms, CI/CD tools, monitoring and logging tools, and
understanding data engineering principles to ensure seamless deployment and
maintenance of machine learning models.
Responsibilities:
• Design, implement, and maintain scalable and reliable MLOps pipelines for
deploying machine learning models.
• Collaborate with data scientists and software engineers to integrate machine
learning models into production environments.
• Implement CI/CD processes to automate the deployment of ML models and
ensure rapid and reliable delivery.
• Monitor and optimize the performance of deployed models, ensuring they meet
business and technical requirements.
• Develop and maintain robust logging and monitoring solutions to track model
performance and detect anomalies.
• Work with cloud platforms (AWS, GCP, Azure) to manage infrastructure for ML
model deployment and operations.
• Ensure data engineering principles and tools (ETL, data pipelines) are effectively
used to support model training and deployment.
• Troubleshoot and resolve issues related to model deployment, scalability, and
performance.
• Stay up-to-date with the latest advancements in MLOps, DevOps, and machine
learning technologies.Qualifications
Basic Qualifications:
• Bachelor’s degree in computer science, Engineering, Data Science, or a related
field.
• Minimum of 5 years of experience in MLOps, DevOps, or related roles with a
focus on deploying and managing machine learning models.
• Proficiency in programming languages such as Python, with experience in ML
libraries (TensorFlow, PyTorch, Scikit-learn).
• Strong experience with any cloud platforms (AWS, GCP, Azure).
Preferred Qualifications:
• Master's degree in a related field.
• Expertise in CI/CD tools such as Jenkins, GitLab
Suggested Skills:
• Knowledge of data wrangling, analysis, and modelling using Python.
• Familiarity with tools and techniques for test automation.
• Ability to effectively manage stakeholder expectations.• Strong presentation skills for communicating technical concepts to non-
technical audiences.