Machine Learning (ML) Engineer

Machine Learning (ML) Engineer

12 Oct
|
Luxoft
|
Hubli

12 Oct

Luxoft

Hubli

Project Description:

We are looking for a Machine Learning (ML) Engineer to help us create artificial intelligence products.

Machine Learning Engineer responsibilities include

I: EDA: Capability to handle and transform data from Snowflake warehouse and Azure Data Factory

II. ML Models

- 1. Regression Models - Linear and Logistic Regression, Decision Trees
- 2. Classification Models - Random Forest, SVM, Gradient Boost etc
- 3. Clustering Techniques - KNN

III. ML Ops: Setup training & inference pipelines, model registry and deployment in Azure MLOps

Responsibilities:

I. EDA: Capability to handle and transform data from Snowflake Warehouse and Azure Data Factory

II. ML Models

- 1.





Regression Models - Linear and Logistic Regression, Decision Trees
- 2. Classification Models - Random Forest, SVM, Gradient Boost etc
- 4. Clustering Techniques - KNN

III. ML Ops: Setup training & inference pipelines, model registry and deployment in Azure MLOps

Nice to have skills:

- 1. Deep Learning Models - Tensor Flow and Keras
- 2. Anomaly Detection Models
- 3. Associate Rule Mining
- 4. Azure Dashboard, or PowerBI

Mandatory Skills Description:

- 5+yrs of relevant experience
- SnowFlake, Warehouses, Event Driven Architecture (EDA), Machine Learning, Azure Data Factory (ADF) Pipeline Full loads and Maintenance Activities

Nice-to-Have Skills Description:

- Deep Learning, Microsoft Power BI, Anomaly Detection

▶️ Machine Learning (ML) Engineer
🖊️ Luxoft
📍 Hubli

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