Machine Learning (ML) Engineer Full-time

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

Regression Models

Linear and Logistic Regression, Decision Trees

Classification Models

Random Forest, SVM, Gradient Boost etc

Clustering Techniques

KNN

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

Nice to have skills:

Deep Learning Models

Tensor Flow and Keras

Anomaly Detection Models

Associate Rule Mining

Azure Dashboard, or PowerBI

Skills

Must have

5+yrs of relevant experience

KNIME, Machine Learning, Azure Data Factory (ADF) Pipeline Full loads and Maintenance Activities,

Nice to have

Deep Learning, Microsoft Power BI, Anomaly Detection

Other

Languages

English: C1 Advanced

Seniority

Regular