Job Responsibilities: -

- Develop and operationalize scalable processes to deliver on large & complex client engagements.
- Ensure profitable delivery and great customer experience – design, deploy, operate, and maintain scalable and productive automated machine learning systems. Monitor and improve performance while accounting for information security, access, model governance, data & model drift, etc.

Job Requirements: -

- Ability to design and implement cloud solutions and ability to build MLOps pipelines on cloud solutions (AWS, MS Azure or GCP)
- Experience with MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow etc., experience with Docker and Kubernetes, OpenShift.
- Programming languages like Python, Go, Ruby or Bash, good understanding of Linux, knowledge of frameworks such as scikit-learn, Keras,



PyTorch, Tensorflow, etc.
- Ability to understand tools used by data scientist and experience with software development and test automation.
- Good understanding of advanced AI/ML algorithms & their applications
- Applications and Digital Automation Solutions, Low Code /No Code and Automation Platforms, designing API's and exposure to DevOps, React/Angular, containers, building visualization layer.
- Knowledge of self-service analytics platforms such as Dataiku/ KNIME/ Alteryx will be an added advantage. MS Excel knowledge is mandatory. Familiarity with Life Sciences is a plus

📌 Senior Associate (India)
🏢 Axtria
📍 India