Friday 14 June 2024

Hiring for ML Ops Engineer || MIAMI, FL (Hybrid)

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Hello,

Hope you are doing well.

We are looking for ML Ops Engineer our Client at MIAMI, FL (Hybrid) go through the below Job description and let me know your interest.

Title: - ML Ops Engineer

Location: MIAMI, FL (Hybrid)

Duration: Long term contract

RESPONSIBILITIES:

• Understand the requirements for advanced analytics, including BI and Data Science, accordingly, deliver the ML Ops framework.

• Design and implement ML Ops for enabling platform for model deployments, creating model inference pipelines, managing model versions.

• Managing and maintaining ML Models in production environment. This will include providing the platform and configuration for ML Models, deployment support, monitoring.

• Building and managing deployment pipelines

• Monitoring model performance

• Managing model versioning

• Managing ML Infrastructure

• ML Algorithm and techniques

• Programming language such as Python, R, and Java

• Machine Learning frameworks such as TensorFlow, PyTorch etc.

• Skills to write efficient and scalable code for data processing, model training & deployment.

• Cloud computing platform experience (preferably in Azure)

• Cloud based ML Services (preferred Azure ML)

• Azure services, such as ADF, Azure Functions, Azure Cosmos DB etc.

• Azure DevOps Principles & practices, including CI/CD pipelines.

• Azure Security Management for security policies, access controls

• Azure Active Directory, network security groups

• Strong data analytics skills for data profiling to train the model

Skills

Python and experience with common data analytics packages (e.g. Numpy, Pandas, Sklearn, PySpark), Databricks & MLFlow, SQL.

Rajesh Vishwakarma

Team Lead

Desk: 201-242-5505 Ext: 120

Cell: 330-778-5966

Email -

rajesh.v@wonese.com


 
Wonese - World Networking Services | 2050 Center Avenue Suite 600 | Fort Lee | NJ | 07024 | US
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