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Swits Digital
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MLOps Engineer

MLOps Engineer

Swits Digital

7 - 12 years

9 - 14 Lacs

bengaluru

Posted:1 day ago| Platform:

Apply

Skills Required

automation version control git orchestration analytical machine learning debugging operations aws python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Job Title:

MLOps Engineer

Experience:

7 12 Years

Location:

Bangalore

Job Summary:

We are seeking an experienced

MLOps Engineer

with strong expertise in

Data Science

and

AWS Cloud

to design, deploy, and maintain end-to-end machine learning solutions. The ideal candidate will have hands-on experience in building scalable MLOps pipelines, automating model lifecycle processes, and optimizing ML infrastructure in production environments. This role offers the opportunity to work with cutting-edge technologies, collaborating closely with Data Scientists and Engineers to drive innovation and efficiency in AI-driven projects.

Key Responsibilities:

Design, develop, and maintain
scalable MLOps pipelines
for automated model training, testing, and deployment.
Collaborate with
Data Scientists
to productionize machine learning models and integrate them into business systems.
Automate
data preprocessing
,
model training
, and
deployment workflows
using modern orchestration tools.
Implement and manage
CI/CD pipelines
for ML models using Jenkins, GitHub Actions, or AWS CodePipeline.
Manage and optimize ML infrastructure on
AWS
(SageMaker, Lambda, ECS/EKS, EC2, ECR, S3, CloudWatch).
Monitor model performance, implement retraining pipelines, and ensure reliability and scalability of deployed models.
Ensure best practices in
version control, reproducibility, and governance
for ML assets.
Collaborate with cross-functional teams (Data Engineering, DevOps, and Product) to enhance ML workflows and delivery efficiency.
Conduct performance optimization and cost management for ML infrastructure.
Stay updated on emerging technologies in
MLOps and AI
to continuously improve operational processes.

Required Skills:

Strong programming experience in
Python
(Pandas, NumPy, Scikit-learn, etc.).
Hands-on experience with
AWS Cloud Services
SageMaker, Lambda, ECS/EKS, EC2, ECR, S3, and CloudWatch.
Proficiency in
MLOps frameworks
such as MLflow, Kubeflow, Airflow, or similar.
Strong understanding of
machine learning model lifecycle
, deployment strategies, and monitoring techniques.
Experience with
Docker
and
Kubernetes
for containerized deployments.
Practical knowledge of
CI/CD pipelines
and automation tools (Jenkins, GitHub Actions, AWS CodePipeline).
Familiarity with
data pipelines
, feature stores, and
Git-based version control systems
.
Strong problem-solving, debugging, and performance optimization skills.

Good to Have:

Experience with
Terraform
or
CloudFormation
for infrastructure as code (IaC).
Exposure to
DataOps
or
Feature Store
design.
Knowledge of
model governance
, compliance, and auditability in ML workflows.
Familiarity with
PyTorch
,
TensorFlow
, or
Hugging Face
model deployment.
Experience in
monitoring tools
(Prometheus, Grafana, or ELK Stack).

Soft Skills:

Strong analytical and communication skills.
Ability to work collaboratively across teams in a fast-paced environment.
Passion for automation, scalability, and production-grade AI solutions.
Continuous learning mindset to stay updated with the latest in ML and DevOps.

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MLOps Engineer

Experience & Salary

Skills Required

Work Mode

Job Type

Job Description

Job Title:

Experience:

Location:

Job Summary:

MLOps Engineer

Data Science

AWS Cloud

Key Responsibilities:

scalable MLOps pipelines

Data Scientists

data preprocessing

model training

deployment workflows

CI/CD pipelines

AWS

version control, reproducibility, and governance

MLOps and AI

Required Skills:

Python

AWS Cloud Services

MLOps frameworks

machine learning model lifecycle

Docker

Kubernetes

CI/CD pipelines

data pipelines

Git-based version control systems

Good to Have:

Terraform

CloudFormation

DataOps

Feature Store

model governance

PyTorch

TensorFlow

Hugging Face

monitoring tools

Soft Skills:

More Jobs at Swits Digital

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