Generative AI & Machine Learning Developer (AWS)

Full Description

• Full-Time Contract | Remote*

• L’EVATE Inc. – On behalf of a Leading Canadian Tech Company*

We are hiring on behalf of a fast-growing Canadian software and automation company with an award-winning AI product recognized for Best Product & Innovation for two consecutive years. They are expanding and looking for a highly skilled Generative AI & Machine Learning Developer who can work on next-generation AI solutions across banking, lending, and real estate.

• About the Role*

You will design, build, optimize, and deploy Generative AI and machine learning models on AWS.

This is an end-to-end role covering model development, cloud architecture, data engineering, and MLOps.

You will work with a talented engineering team on enterprise-level AI projects.

• Key Responsibilities*

• Build and fine-tune LLMs, GANs, VAEs, diffusion models, and transformer architectures.

• Develop and optimize ML pipelines using AWS SageMaker, Bedrock, Lambda, and Step Functions.

• Use AWS Inferentia and Trainium to accelerate training and inference.

• Deploy AI/ML workloads using SageMaker, EC2, ECS, EKS, and Lambda.

• Build secure and scalable data pipelines with Glue, S3, Redshift, and DynamoDB.

• Implement MLOps best practices including CI/CD, automated monitoring, and continuous training.

• Work with large datasets using EMR, Athena, Glue, and Redshift.

• Implement streaming pipelines using Kinesis, Kafka, and Lambda.

• Manage cloud security, IAM roles, encryption, and secure API endpoints.

• Monitor and debug workloads using CloudWatch, X-Ray, and Sagemaker Debugger.

• Required Qualifications*

• 3+ years of hands-on AI/ML development with a focus on Generative AI.

• Strong programming experience with Python, TensorFlow, PyTorch, or JAX.

• Strong experience with AWS ML stack including SageMaker, Bedrock, EC2, Lambda, and EKS/ECS.

• Strong understanding of LLMs, GPT models, transformers, and diffusion models.

• Experience with MLOps, CI/CD for ML, and automated model monitoring.

• Experience with data engineering and working with complex datasets.

• Solid understanding of cloud security, networking, and IAM.

• Preferred Qualifications*

• AWS Machine Learning Specialty or Solutions Architect certification.

• Experience with serverless AI and multi-cloud deployments.

• Experience with vector databases such as Pinecone, FAISS, or Weaviate.

• Experience with RAG, RLHF, and LLM fine-tuning.

• Knowledge of AI ethics, bias mitigation, and responsible AI.

• What You’ll Love About This Role*

• Opportunity to work with cutting-edge Generative AI technology.

• Collaboration with a strong, highly technical Canadian engineering team.

• Long-term, stable role with strong career development potential.

• Remote work with a supportive structure via L’EVATE.

• Compensation*

• Competitive salary based on experience.

• Full-time hours, long-term role.

• How to Apply*

Please submit the following:

1.

Updated resume

2.

Portfolio and/or GitHub links

• Only qualified applicants will be contacted*