Machine Learning ML Engineer

Remote • Posted 6 hours ago • Updated 6 hours ago
Full Time
No Travel Required
Remote
Depends on Experience
Fitment

Dice Job Match Score™

🎯 Assessing qualifications...

Job Details

Skills

  • ml
  • machine learning
  • mlops

Summary

Fulltime Permanent Role

Title- ML ENGINEERING
Location- Sunnyvale, CA / Remote

 

What you''ll bring:

·         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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10439527
  • Position Id: 8999266
  • Posted 6 hours ago
Contact the job poster
SG

Surendra Goud

Recruiter @ Tranzeal, Inc.
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