AI/ML Python developers with Devops

Cloudxtreme

5 - 10 years

7 - 17 Lacs

Pune Bengaluru Delhi / NCR

Posted:1 day ago| Platform:

Apply

Skills Required

Azure Devops AWS

Work Mode

Hybrid

Job Type

Full Time

Job Description

Key Requirements:

AI/ML Python Development with DevOps
: 2-3 years of experience in deploying machine learning models using Python, with a focus on DevOps.
Machine Learning Model Experience
: Hands-on experience in developing and working with machine learning models.
Cloud Services
: Mandatory experience with either:

AWS Services: Bedrock, SageMaker, EKS (Elastic Kubernetes Service), Lambda
Azure Services (specific services not mentioned, but experience with Azure is required)

Gen AI Projects
: The candidate will be working on projects related to Generative AI.

Ideal Candidate:

Strong background in Python development and machine learning model development
Experience with DevOps practices and tools for deploying ML models
Familiarity with cloud services (AWS or Azure) and their respective offerings for ML and AI
Ability to work on complex projects involving Generative AI

This job description suggests that the company is looking for a skilled AI/ML engineer with experience in deploying models using DevOps practices and working with cloud services. The focus on Generative AI projects indicates that the company is likely working on cutting-edge AI applications.

More Jobs at Cloudxtreme

Sap Crm Technical Consultant

Hyderabad, Pune, Bengaluru

6.0 - 11.0 yrs

INR 11 - 20 Lacs

.NET Application Developer

Chennai, Bengaluru, Delhi / NCR

6.0 - 11.0 yrs

INR 13 - 15 Lacs

Java Developer

Hyderabad, Chennai, Bengaluru

7.0 - 12.0 yrs

INR 22 - 25 Lacs

Angular Developer

Hyderabad, Chennai, Bengaluru

8.0 - 13.0 yrs

INR 15 - 30 Lacs

Independence ops Sr. Analyst

Hyderabad

4.0 - 6.0 yrs

INR 0 - 0 Lacs

Mock Interview

Practice Video Interview with JobPe AI

Start DevOps Interview

Start Your Job Search Today

Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.