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MLops Engineer

4 weeks ago

Hyderabad, India Infoslab Full time

MLops engineer

Location:

Hyderabad (Hybrid – 3 days onsite)

Experience:

5+ Years

Employment Type:

Full-Time

Client:

Leading Healthcare Data Analytics Company

Availability:

Immediate Joiner

About the Role

We are hiring a
Machine Learning & MLOps Engineer

for our Hyderabad office (Hybrid Mode). The role is with a
Healthcare Data Analytics client

building scalable, secure, and production-grade AI/ML systems.

This position requires expertise in
designing, deploying, and managing ML solutions

in production environments, with a focus on automation, scalability, and reliability.

Key Responsibilities

  • Design, develop, and optimize
    ML models

for business-critical use cases.
- Build and manage
end-to-end MLOps pipelines

(deployment, monitoring, retraining, lifecycle management).
- Collaborate with data engineers, developers, and cross-functional teams to deliver seamless ML integration.
- Automate workflows for
data preprocessing, feature engineering, and retraining

.
- Ensure
reproducibility, scalability, and observability

of deployed ML systems.
- Implement
CI/CD workflows

, containerization (Docker), and orchestration (Kubernetes).
- Monitor deployed models for performance, drift, and reliability.

Must have skills

  • 5+ years of experience in
    ML Engineering & MLOps

.
- Proficiency in
Python

and ML frameworks (
TensorFlow, PyTorch, Scikit-learn

).
- Strong hands-on experience with
MLOps tools

(MLflow, Kubeflow, SageMaker, Vertex AI).
- Experience with
Docker, Kubernetes, CI/CD pipelines

.
- Strong expertise in
AWS, Azure, or GCP

cloud platforms.
- Experience deploying
scalable and secure ML systems

.

Good to have

  • Experience with
    Big Data tools

(Spark, Databricks, Hadoop).
- Knowledge of
Feature Stores

and real-time pipelines.
- Experience with
real-time model serving

and streaming architectures.
- Exposure to
healthcare or regulated industries

.