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Machine Learning (ML) Engineer

Delhi, India (Remote)

Machine Learning (ML) Engineer

1 Month ago • 5 Years + • Artificial Intelligence

About the job

6 skills required for this role

Add these skills to join the top 1% applicants for this job

deep-learning

azure

data-structures

keras

decision-trees

power-bi

Job Description

We are seeking a Machine Learning (ML) Engineer to contribute to the development of AI products. Responsibilities encompass EDA (handling and transforming data from Snowflake and Azure Data Factory), building various ML models (regression, classification, clustering), and establishing ML Ops pipelines (training, inference, model registry, and deployment within Azure MLOps). Specific model types include linear and logistic regression, decision trees, random forest, SVM, gradient boosting, and KNN. Experience with KNIME, Azure Data Factory pipelines (full loads and maintenance), and at least 5 years of relevant experience are required.

Must have:

5+ years relevant experience
KNIME
Machine Learning
Azure Data Factory Pipelines
EDA, ML Model building, ML Ops

Good to have:

Deep Learning
TensorFlow/Keras
Anomaly Detection
Microsoft Power BI
Azure Dashboard

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

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About The Company

Luxoft

1057 Active Jobs

Luxoft, a DXC Technology Company (NYSE: DXC), is a digital strategy and software engineering firm providing bespoke technology solutions that drive business change for customers the world over. Acquired by U.S. company DXC Technology in 2019, Luxoft is a global operation in 44 cities and 21 countries with an international, agile workforce of nearly 18,000 people. It combines a unique blend of engineering excellence and deep industry expertise, helping over 425 global clients innovate in the areas of automotive, financial services, travel and hospitality, healthcare, life sciences, media and telecommunications.

DXC Technology is a leading Fortune 500 IT services company which helps global companies run their mission critical systems. Together, DXC and Luxoft offer a differentiated customer-value proposition for digital transformation by combining Luxoft’s front-end digital capabilities with DXC’s expertise in IT modernization and integration. Follow our profile for regular updates and insights into technology and business needs.