Xenonstack’s artificial intelligence team is looking for a passionate machine learning ops engineer to help us discover and implement state-of-the-art solutions for our machine learning projects to enable rapid experimentation and increase the accuracy of our models and ensure the high quality of our products.
Research and implement mlops tools, frameworks, and platforms for our data science projects.
Work on a backlog of activities to raise mlops maturity in the organization.
Proactively introduce a modern, agile and automated approach to data science.
Conduct internal training and presentations about mlops tools’ benefits and usage.
Knowledge of kubernetes is a must-have.
Knowledge in the operationalization of data science projects (mlops) using at least one of the popular frameworks or platforms (e.g., kubeflow, aws sagemaker, google ai platform, azure machine learning, datarobot, dkube).
Good understanding of ml and ai conceptsHands-on experience in ml model development.
Proficiency in python used both for ml and automation tasksGood knowledge of bash and unix command-line toolkit.
Knowledge in ci/cd/ct pipeline implementation.
Knowledge of cloud platforms - preferably aws - would be an advantage.
Excellent communication skills
Attention to detail
Analytical mind and problem solving aptitude
Strong organizational skills
Education: technical graduates ( bca, bsc, b.tech), mca, msc, and m.tech with strong data structure and algorithm skills
Experience: 1 - 3 years