This role is for one of the Weekday's clients
Min Experience: 7 years
Location: India
JobType: full-time
We are looking for a highly motivated
MLOps Engineer
with a strong passion for automation, up-to-date DevOps/MLOps practices, and scalable machine learning operations. The ideal candidate will have expertise in cloud-based data platforms—preferably
Google Cloud Platform (GCP)
—as well as experience building and managing end-to-end ML pipelines and infrastructure-as-code solutions.
Key Responsibilities & Requirements
Demonstrated passion for
automation
and
MLOps/DevOps methodologies
.
Strong understanding of
containerization
and
orchestration
technologies.
Solid foundation in
Machine Learning
and
Data Science
concepts.
Experience building and operating
cloud-native data architectures
, ideally leveraging
GCP services
.
Hands-on experience with
Infrastructure as Code (IaC)
using
Terraform
.
Proven understanding of
CI/CD pipelines




and automation tools such as
Azure DevOps
.
Proficient in
Python
for developing automation workflows and ML components.
Experience working within
Agile development teams
.
Proficient with
Git
for version control and collaborative development.
Extensive experience with
GCP Vertex AI
components including Feature Store, Pipelines, Notebooks, Model Registry, Endpoints, and Monitoring (or equivalent platforms).
Strong problem-solving mindset with high levels of
proactivity, analytical thinking, adaptability, and accountability
.
Excellent
communication, collaboration, coaching, and mentoring
skills with the ability to influence and drive technical improvements.
Demonstrated initiative, innovation, and strategic awareness.
Core Skills
Machine Learning • MLOps • Terraform • GCP • Python • Vertex AI

📌 Mlops Engineer (India)
🏢 Weekday AI
📍 India