Senior Associate

Axtria - Ingenious Insights; Gurugram District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Axtria - Ingenious Insights seeks a skilled MLOps professional to design, deploy, and manage scalable ML systems for large client engagements. You will build and optimize end-to-end pipelines on cloud platforms, ensuring performance, security, and governance across data and models.

The role requires expertise in MLOps toolchains (Kubeflow/MLFlow), containerization (Docker/Kubernetes/OpenShift), and strong programming skills (Python, Go, Ruby, Bash) along with ML frameworks.

Qualifications

• Cloud solutions and MLOps pipelines on AWS, Azure or GCP.
• Experience with Kubeflow, MLFlow, DataRobot, Airflow, etc., and with Docker and Kubernetes.
• Proficiency in Python, Go, Ruby or Bash; good knowledge of Linux and ML frameworks (scikit-learn, Keras, PyTorch, TensorFlow).
• Understanding tools used by data scientists and exposure to software development and test automation.
• Strong knowledge of advanced AI/ML algorithms and their applications.
• Familiarity with self-service analytics platforms such as Dataiku/KNIME/Alteryx; MS Excel knowledge is mandatory; Life Sciences familiarity is a plus.

Responsibilities

• Develop and operationalize scalable processes to deliver on large and complex client engagements.
• Ensure profitable delivery and great customer experience – design, deploy, operate, and maintain scalable and efficient automated ML systems; monitor and improve performance with governance, data and model drift considerations.

Skills

MLOps pipelines

Python

Docker

Kubernetes

Cloud platforms

Kubeflow/MLflow

Scikit-learn/Keras/Torch

OpenShift

API design

Life sciences familiarity

Tools

OpenShift

Dataiku

KNIME

Alteryx

Data science tooling

Job description

• 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 efficient automated machine learning systems. Monitor and improve performance while accounting for information security, access, model governance, data & model drift, etc.

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 efficient 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