AI/ML Engineer

Overview

On Site
$55+
Accepts corp to corp applications
Contract - W2
Contract - 6 Month(s)

Skills

AI Engineer
ML Engineer
Large Scale Models
Algorithms
Production
Deployment
Machine Learning Algorithms
Regression
Classification
Natural Language Processing Concepts
Sentiment Generation
Topic Modeling
TFIDF
Scikit Learn
Vader Sentiment
Pandas
PySpark
Adaptable Data Pipelines
Integration of ML
upstream
downstream
handshake
Performance Metrics
Model Risk Oversight
Model Review Cadence
Development of Runbooks

Job Details

100% Onsite Position- Only locals to TX required

Skills: AI/ML, MLOps, Google Cloud Platform, Python, SQL, and experience in SDLC projects

Job Description:

10+ years experience as AI/ML Engineer

Work and collaborate with data science and engineering teams to deploy and scale models and algorithms.

Operationalize complex machine learning models into production including end to end deployment.

Understand standard Machine Learning algorithms (Regression, Classification) & Natural Language processing concepts (sentiment generation, topic modeling, TFIDF) .

Working knowledge of standard ML packages like scikit learn, vader sentiment, Pandas, PySpark.

Design, Develop and maintain adaptable data pipelines to maintain use case specific data.

Integrate ML use cases in business pipelines & work closely with upstream & downstream teams to ensure smooth handshake of information.

Develop & maintain pipelines to generate & publish model performance metrics that can be utilized by Model owners for Model Risk Oversight's model review cadence.

Support the operationalized models and develop runbooks for maintenance.

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