Data Scientist ML Engineer (Google Cloud Platform, Vertex AI) - Remote

Overview

Remote
Depends on Experience
Contract - W2
Contract - 12 Month(s)

Skills

SQL
Python
ML
Machine Learning
LLM
RAG
GCP
Google Cloud
Vertex AI

Job Details

Job Details

Role: Data Scientist ML Engineer Location: Remote
Definitely need: -strong SQL -Strong Python -Heavy ML -RAG/LLM experience -Google Cloud Platform -Vertex AI/ open AI would be great.

Position Summary
We are seeking a Machine Learning Engineer to design and implement robust Machine Learning applications that drive innovation and business insights. You will collaborate closely with data scientists, software engineers, and product managers to integrate ML capabilities into our products and services, ensuring high performance and scalability. Strong Python programming skills is essential, must have prior experience working on Google Cloud Platform and Vertex AI, as well as working with BigQuery and NoSQL databases like MongoDB.

Required Qualifications
- Proven experience as a Machine Learning Engineer (3+ years)
- Proficiency in Python programming language
- Experience with RDBMS & NoSQL databases (e.g., MongoDB, BigQuery)
- Experience with data preprocessing, feature engineering, and model evaluation
- Experience with cloud platforms (Google Cloud, Azure)
- Understanding of machine learning concepts and workflows

Preferred Qualifications
- Familiarity with Vertex AI & Azure OpenAI
- Experience working with LLMs and RAGs
- Knowledge of natural language processing (NLP)
- Familiarity with big data technologies (Apache Spark, Ray, Dark)
- Experience with streaming data technologies (e.g., Apache Kafka, PubSub)
- Familiarity with version control systems (e.g., Git)
- Strong problem-solving skills and attention to detail
- Ability to work collaboratively in a team environment

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