Lead Machine Learning Engineer

Overview

On Site
Depends on Experience
Contract - W2
Contract - Independent
Contract - 5 Year(s)

Skills

Machine Learning (ML)
Algorithms
Amazon Web Services
Apache Kafka
Cloud Computing
Communication
Google Cloud
Google Cloud Platform
Natural Language Processing
Software Development Methodology
GitHub

Job Details

Job Title: Lead Machine Learning Engineer

Location: Davis, CA

Job Type: Contract Long Term

Client: University of California

Description:

  • 5+ years of professional experience as a Machine Learning
  • Engineer Experience designing, developing, deploying, and supporting machine learning models and platforms for medium to large sized projects
  • Experience with the full Software Development Life Cycle (SDLC) of ML models in production

 

Experience with core ML algorithms including:

  • Linear Regression
  • Logistic Regression
  • Decision Trees
  • Random Forests
  • Support Vector Machines (SVMs)
  • Naive Bayes
  • Neural Networks
  • Clustering
  • Dimensionality Reduction
  • Natural Language Processing (NLP) Programming Languages & Frameworks
  • Strong programming experience in Python
  • Prefer experience with web development in JavaScript
  • Prefer experience developing mobile applications

 

ML domain:

  • Natural Language Processing, Computer Vision, Recommendation Systems, Forecasting, Classification

Tools & Platforms:

  • Elasticsearch, Kubernetes, Docker, Redis, Apache Kafka, Apache Spark, SQL, NoSQL, Infrastructure as Code (IaC), AWS Lambda Cloud Computing Platforms

Experience with one or more of:

  • Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (Google Cloud Platform)CI/CD and DevOps

Experience building CI/CD pipelines using:

  • GitHub Actions, TravisCI, Other CI/CD tools

Collaboration and Communication:

  • Strong oral and written communication skills, Ability to interact with both technical and nontechnical stakeholders, Able to translate business requirements into technical solutions and documentation

 

Security and Privacy:

Understanding and application of data privacy and security standards in development

Education:

  • Bachelor s degree in computer science, Engineering, Mathematics, or Information Systems
  • Equivalent combination of education and experience also considered
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