AI Engineer

Tranzeal, Inc.

Sunnyvale, United States

3 months ago

Apply on dice.com

Prepare application

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

3 years minimum

Working hours

Regular working hours

Job source

dice.com

Tech stack

Airflow Unit Testing Cloud Engineering Code Review Databases Data Structures Apache Hadoop Apache Hive Python (Programming Language) Machine Learning NoSQL Performance Tuning

+20 more

Mockito Software Engineering PL-SQL SQL Databases Google Cloud Delivery Pipeline Apache Spark Code Structure Offline Storage Git Pytest Kubernetes Information Technology Cassandra Cosmos DB Machine Learning Operations Software Version Control Data Pipelines Amazon 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.