11 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