Descripción del puesto

The Role:

As part of the ApplyBoard AI team, your mission is to help develop and productionize AI services and capabilities that help other teams to advance their services for students and recruitment partners. You will be a senior member of a team that delivers AI capabilities to help other teams. As a Senior Machine Learning Engineer, you value collaboration and nurture innovation while working in an energetic team. Your strong foundation in productionizing machine learning models will be valuable in enabling a data-driven culture company-wide. You are expected to work on continuous improvement of our best practices for AI services and ensuring that our models are accurate, reliable, and explainable.

Responsibilities:

• Developing and productionizing new machine learning models.
• Building and documenting APIs.
• Improving the machine learning development & deployment pipeline.
• Maintaining existing machine learning models.
• Performing statistical analysis.
• ML Ops and collaboration with DevOps.
• Building internal demos and dashboards of our products to get feedback from different departments.

Requisitos

Qualifications:

• 5+ years of experience in software engineering or back-end engineering.
• 3+ years of experience in productionizing machine learning (ML) systems.
• In-depth understanding of researching, designing, developing, and deploying ML systems, models, and schemes.
• Hands-on experience of deploying ML models/systems to AWS infrastructure.
• Familiarity with Amazon Bedrock and working with LLM services is an asset.
• Performing statistical analysis and using results to improve models.
• Training and retraining ML systems and models as needed.
• Experience with Python with specific focus on frameworks such as FastAPI and Flask as well as Libraries used in Natural Language Processing.
• Familiarity with ML frameworks and libraries.
• Experience of development and deployment with AWS SageMaker.
• Strong analytical skills.
• Ability to communicate effectively with people who are both highly technical, and non-technical alike.
• Driven, passionate and creative, and thrives in a fast-paced environment.
• Strong team-player and ability to work with individual contributors with different levels of experience.

Ideally, you also have experience with many of:

• AWS Machine Learning Speciality Certificate.
• Jenkins, CodeBuild, CDK, Helm Charts.
• AWS API Gateway, CloudFront.
• Data Pipeline, Docker, Kubernetes, New Relic.
• Microservices, Kinesis, Kafka.

Beneficios

This role is located in Canada, and the recruitment process will be conducted in Ecuador specifically for refugees currently residing in the country.