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MLOps Engineer

MLOps Engineer

Meril

5 years

0 Lacs

vapi gujarat india

Posted:15 hours ago| Platform:

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Skills Required

ai learning model ml design integration deployment data automate training testing reliability versioning scalability efficiency resolve compliance security support devops tensorflow pytorch aws azure containerization automation troubleshooting monitoring collaboration cutting healthcare

Work Mode

On-site

Job Type

Full Time

Job Description

🚀 MLOps Engineer | Nuvo AI / Meril Life Sciences (Vapi, Gujarat)

MLOps Engineer

If you’re excited about designing scalable machine learning pipelines, automating model deployments, and ensuring reliable ML systems in production — we’d love to hear from you.

Key Responsibilities

Design, develop, and implement
end-to-end MLOps pipelines
for continuous integration and deployment of ML models.
Collaborate closely with
data scientists and engineers
to understand model requirements and streamline deployment workflows.
Automate
training, testing, and deployment
processes for machine learning models.
Monitor, maintain, and optimize models in production to ensure
accuracy, reliability, and performance
.
Implement
best practices
for model versioning, reproducibility, and governance.
Optimize ML pipelines for
scalability, efficiency, and cost-effectiveness
across cloud and on-prem environments.
Troubleshoot and resolve
deployment or performance-related issues
.
Ensure compliance with
data security and privacy standards
.
Stay updated with the latest
MLOps tools, technologies, and trends
.
Mentor and support team members on MLOps tools and best practices.

Required Skills & Experience

3–5 years
of experience in MLOps, DevOps, or related fields.
Bachelor’s degree in
Computer Science, Data Science, or a related discipline
.
Strong understanding of
machine learning lifecycle management
.
Proficiency in
Python
and experience with frameworks such as
TensorFlow, PyTorch, or Scikit-learn
.
Hands-on experience with
cloud platforms
like AWS, Azure, or bare-metal servers.
Familiarity with
Docker
and
Kubernetes
for containerization and orchestration.
Knowledge of
CI/CD pipelines
, automation tools, and
version control (Git)
.
Strong analytical and troubleshooting skills for ML production systems.
Experience with
monitoring tools
for model and system performance.
Excellent collaboration skills in
cross-functional AI/ML teams
.

Why Join Us

Meril / Nuvo AI

Location:

Experience Level:

jignesh.pandoriya@merillife.com

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