ML Engineer

Pvotal is a startup working on improving various industries through innovative technologies. We're redefining the way enterprise infrastructure and applications are imagined, built, managed, secured and matured. Our team is small, fast, and efficient and we are looking to add highly motivated individuals to join us!

Position:

We are looking for a Machine Learning Engineer with experience supporting various machine learning models. The ideal candidate will have strong experience in maintaining and validating GCP Vertex AI models, MLOps principles, and data pipelines to continuously improve machine learning models.

Qualifications:

• University degree in related fields
• Proficient in English
• 2+ years of experience with Transformer models
• Experience working alongside Infrastructure as Code MLOps
  
  

General Responsibilities:

• Design, build, productionize, optimize, operate, and maintain Machine Learning systems.
• Design and develop Vertex AI data pipelines to manage datasets for various AI/ML model development and their associated outputs.
• Work with Terraform based Cloud Operations to engineer Machine Learning Model Deployment Pipelines.
• Work to provision data for model development and source requirements for upcoming work.
• Work to support the Model end-to-end lifecycle - from providing training data sets to deploying in production.
• Interact with downstream customers and core development team to define integration points and support model output management.
• Automate and execute all levels of Model testing and validation .
• Champion engineering excellence and proactively recommend solutions.
  
  

Technical Requirements:

• Experience with training and deploying models using GCP Vertex AI MLOps
• Proficiency in scripting language such as Python or Golang or Frameworks such as Keras or Tensorflow
• Experience with basic Terraform and MLOps principles
• Understanding of core data engineering concepts – common data management tools such as Big Query and Google Cloud Storage raw storage, and tradeoffs in design decisions
• Proficiency in SQL
• Prior basic understanding using containerization in a Cloud environment
• Experience working in Google Cloud and supporting Machine Learning deployments
  
  

Soft Skills:

• Communication, presentation, and collaborative skills to effectively work within an international team to ensure good quality of deliverables
• Takes responsibility and ensures a good quality of deliverables
• Be passionate about startups, tech, and learning new technologies and methodologies
  
  

Benefits:

• Fully remote work
• 4-day work week