Machine Learning Engineer GenAI LLM

About the Role

Arcadia is seeking a skilled Machine Learning Engineer GenAI LLM to join a high-impact team focused on delivering cutting-edge Generative AI and LLM-based software solutions. This role involves shaping modern AI systems by building and optimizing machine learning infrastructure in a cloud-native environment.

Key Responsibilities

• Design and develop ML/LLM solutions using Python, Java, and AWS.
• Build and manage ML infrastructure and pipelines (CI/CD, MLOps).
• Develop GenAI-based applications using Amazon Bedrock.
• Architect cloud-native systems using EC2, Lambda, ECS, S3, CDK.
• Collaborate with engineering teams and stakeholders to implement scalable solutions.
• Enforce coding standards and best practices via code reviews.
• Support deployment, operations, and post-release monitoring of ML systems.

Required Skills & Experience

• 3+ years of professional experience with Python.
• 2+ years of experience with Java.
• Hands-on work with Amazon Bedrock and LLM optimization.
• Deep familiarity with AWS services: EC2, ECS, Lambda, CDK, S3.
• Experience in setting up ML pipelines and managing infrastructure.
• Strong knowledge of CI/CD practices, DynamoDB, and SQL.
• Solid understanding of SOLID principles, design patterns, and scalable system design.
• Excellent communication skills in English.
• Comfortable working with distributed teams and external stakeholders.

Nice-to-Have Skills

• Experience with PyTorch or PySpark.
• Familiarity with REST APIs and GraphQL.

Additional Information

This is a remote role available to candidates across Canada or the U.S., with working hours aligned to Eastern Time (EST). The role can be structured as either a contract or full-time permanent position, starting with an initial 6-month term and a strong likelihood of extension.

Key skills/competency

• Python
• Java
• Amazon Bedrock
• AWS
• MLOps
• LLM Optimization
• CI/CD
• Cloud-Native
• ML Pipelines
• Scalable Systems