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CareerFit.ai
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MLOps Engineer

MLOps Engineer

CareerFit.ai

1 - 4 years

5 - 8 Lacs

Mumbai

Posted:6 days ago| Platform:

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Skills Required

Computer science Automation Version control Machine learning Workflow Apache VMS Distribution system Monitoring Python

Work Mode

Work from Office

Job Type

Full Time

Job Description

*Job Description: Cloud/Platform/MLOps Engineer*

Location: Mumbai

Position: Onsite

*Position Overview:*

We are seeking a skilled and experienced *Platform/MLOps Engineer* to join our teamThe ideal

candidate will play a critical role in designing, implementing, and maintaining scalable and reliable

machine learning operations infrastructure to support our data science and machine learning teams.

You will work closely with cross-functional teams to enable the seamless deployment, monitoring,

and optimization of ML models and pipelines in production environments.

*Key Responsibilities:*

1. *MLOps & Model Deployment:*

- Design and implement robust MLOps pipelines for deploying, monitoring, and retraining ML

models.

- Automate model training, testing, and deployment workflows using tools like *Kubeflow,

**Airflow, and **MLFlow*.

- Ensure seamless integration of CI/CD pipelines for ML models to accelerate deployment cycles.

2. *Infrastructure Management:*

- Manage and optimize cloud-based infrastructure on *Azure* (Kubernetes, Blob Storage, Virtual

Machines, and Databases).

- Implement infrastructure as code (IaC) solutions using *Terraform* or *Azure Resource Manager

(ARM) templates*.

- Optimize resource utilization for cost-efficiency and performance in both Azure and *AWS*

environments (optional).

3. *Pipeline Orchestration & Automation:*

- Build and maintain data and ML pipelines using *Apache Airflow* or similar workflow

orchestration tools.

- Collaborate with data engineering teams to ensure reliable data pipelines and preprocessing

systems.

4. *Monitoring & Observability:*

- Set up logging, monitoring, and alerting for ML pipelines and deployed models using tools like

*Prometheus, **Grafana, or **Azure Monitor*.

- Establish best practices for performance tracking, drift detection, and model versioning.

5. *Development & Collaboration:*

- Write efficient, maintainable, and well-documented code in *Python* for automation and

infrastructure management.

- Collaborate with data scientists, data engineers, and DevOps teams to ensure seamless

integration between tools, pipelines, and applications.

- Use *Git* for version control and manage repositories in collaborative workflows.

6. *Security & Compliance:*

- Manage authentication and authorization for cloud services and pipelines using tools like *Azure

AD* and *IAM policies*.

*Required Skills & Qualifications:*

- Strong experience with *MLOps* tools and frameworks such as *Kubeflow, **MLFlow, and

**Apache Airflow*.

- Proficiency in *CI/CD pipelines* for machine learning workflows (e.g., GitHub Actions, Azure

DevOps, Jenkins).

- Hands-on experience with *Azure Cloud* (Kubernetes, Blob Storage, Databases, VMs).

- Solid programming skills in *Python* for scripting, automation, and pipeline development.

- Familiarity with containerization and orchestration tools such as *Docker* and *Kubernetes*.

- Experience with *Git* for version control and collaborative workflows.

- Understanding of monitoring and observability tools like *Prometheus, **Grafana, or **Azure

Monitor*.

*Preferred Skills:*

- Knowledge of *AWS Cloud* services (S3, EC2, SageMaker, etc.).

- Experience with IaC tools like *Terraform* or *CloudFormation*.

- Understanding of distributed systems and parallel computing for ML pipelines.

*Soft Skills:*

- Strong problem-solving and analytical skills.

- Excellent communication and collaboration abilities.

- Adaptability to a fast-paced, dynamic work environment.

*Educational Qualifications:*

- Bachelors or Masters degree in Computer Science, Engineering, or a related field.

- Certifications in Azure, AWS, or Kubernetes (e.g., Azure Solutions Architect, CKA) are a plus

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CareerFit.ai

Software Development

Mumbai Maharashtra

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