Machine Learning Engineer - Remote

Overview

Provectus is a Premier AWS partner at the forefront of Artificial Intelligence solutions empowering businesses to unlock value and accelerate their transformation via bespoke applications, managed services, and advisory engagements.

In Short

• Create ML models from scratch or improve existing models.
• Create ML/AI pipelines that include custom models or APIs as part of the processing.
• Collaborate with the engineering team, data scientists, and product managers on production models.
• Develop experimentation roadmap.
• Set up a reproducible experimentation environment and maintain experimentation pipelines.
• Monitor and maintain ML models in production to ensure optimal performance.
• Write clear and comprehensive documentation for ML models, processes, and pipelines.

Requirements

• Comfortable with standard ML algorithms and underlying math.
• Practical experience with solving classification and regression tasks in general, feature engineering.
• Practical experience with ML models in production: orchestrating workflows, monitoring metrics.
• Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines.
• Solid software engineering skills (i.e., ability to produce well-structured modules, not only notebook scripts).
• Python expertise, Docker.
• Practical experience with cloud platforms (AWS stack is preferred, e.g. Amazon SageMaker, ECS, EMR/Glue, S3, Lambda, SQS).
• English level - Upper Intermediate.
• Excellent communication and problem-solving skills.

Benefits

• Work with a leading company in AI solutions.
• Opportunity to collaborate with talented professionals.
• Engage in innovative projects.
• Flexible working environment.
• Professional development opportunities.