senior associate

Axtria - Ingenious Insights; Gurgaon; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Axtria - Ingenious Insights is seeking an experienced MLOps Engineer to develop and operationalize scalable ML solutions for large client engagements. You will design, deploy, and maintain automated ML pipelines on cloud platforms, ensuring performance, governance, and security.

Proficiency in Python and Linux is expected, with exposure to Kubeflow, MLFlow, DataRobot, Airflow, and container technologies. The role requires strong cloud design abilities, experience with AI/ML algorithms, and

Qualifications

• Experience building and operating scalable ML/AI solutions on cloud platforms.
• Proficient in MLOps frameworks and container orchestration tools.
• Strong programming skills in Python or similar and knowledge of Linux environments.
• Familiarity with analytics tools and low-code/no-code platforms is a plus.

Responsibilities

• Develop and operationalize scalable processes for large & complex client engagements.
• Design, deploy, operate, and maintain scalable automated ML systems; monitor performance and governance.

Skills

MLOps

Cloud design and implementation

Python

Go

Bash

Linux

AI/ML algorithms

Self-service analytics

Tools

Kubeflow

MLFlow

DataRobot

Apache Airflow

Docker

Kubernetes

OpenShift

Dataiku

KNIME

Alteryx

MS Excel

Job description

Job Description:

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