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MLops Engineer
4 weeks ago
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
.