Machine Learning ML Engineer

Tranzeal, Inc.
Sunnyvale, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Remote
Sunnyvale, United States of America

Tech stack

Airflow
Unit Testing
Cloud Engineering
Code Review
Databases
Data Structures
Hadoop
Hive
Python
Machine Learning
NoSQL
Performance Tuning
Mockito
Software Engineering
PL-SQL
SQL Databases
Google Cloud Platform
Delivery Pipeline
Spark
Code Structure
Offline Storage
GIT
Pytest
Kubernetes
Information Technology
Cassandra
Cosmos DB
Machine Learning Operations
Software Version Control
Data Pipelines
Redshift
Microservices

Requirements

· Bachelor''s Degree in Computer Science or related field and 10 years of experience in software engineering or Master''s Degree in Computer Science or related field and 5 years of experience in software engineering

· 4+ years of proven work experience in designing and Architecting cloud native, distributed, high performant and scalable microservices.

· 4 years of experience with database languages (SQL, PL/SQL, PG-PL/SQL), version control (Git), data structures and algorithms

· 4 years of experience in writing production quality software with Python; knowledge of Unit testing in Python, Mocking, Pytest.

· 4 years of experience in architecting ML solutions given an abstract business problem

· 3 years of experience with MLOps, Model development lifecycle with knowledge of Training and Deployment pipelines for Machine Learning solutions on the cloud

· 3 years of experience building training and inference pipelines

· Hands on experience with building data pipeline with Spark, Hadoop, Redshift and/or Hive

· Experience with Kubernetes, Helm, microservice architecture and design, and best practices around multithreading, networking, offline storage, and performance tuning

· A disciplined approach to development, code review, testing, documentation, and code structure in a team environment.

· Design/Architecting Applications in No-SQL database such Cassandra, and Azure Cosmos DB.

· Utilize Industry Research and Innovation to build Next Generation systems to Improve Walmart Technology Environment.

· Experience with Google Cloud Platform and Airflow is a plus.

· Prefer experience with building Machine Learning models and pipelines related to personalization.

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