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

 

 

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 (GCP)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

Key Skills
Education

Bachelor's degree

Back To Jobs