Software Engineer - MLOps (GenAI & LLM Focus) - Remote

Overview

Sutherland is at the forefront of AI-driven innovation, specializing in Generative AI (GenAI) and Large Language Models (LLMs). We build intelligent applications that transform industries by leveraging cutting-edge AI technologies. Join us to create tools that redefine developer productivity.

In Short

• Seeking a Software Engineer with MLOps skills.
• Contribute to deployment, automation, and monitoring of GenAI and LLM applications.
• Work closely with AI researchers, data engineers, and DevOps teams.
• Assist in deploying and optimizing GenAI/LLM models on cloud platforms.
• Contribute to building CI/CD pipelines for automated model training.
• Help automate model retraining and pipeline orchestration.
• Collaborate with data engineers for data preprocessing.
• Follow security best practices for MLOps workflows.
• Document MLOps processes and contribute to reusable templates.
• 2+ years of software engineering experience required.

Requirements

• Proficiency in Python and familiarity with SQL/Bash.
• Basic knowledge of PyTorch/TensorFlow.
• Experience with AWS, Azure, or GCP.
• Exposure to Docker, Kubernetes, MLflow, or Airflow.
• Familiarity with logging/monitoring tools.
• Hands-on experience deploying AI/ML models in production.
• Understanding of CI/CD pipelines and IaC principles.
• Bachelor’s degree in Computer Science or related field.
• Familiarity with LLM deployment preferred.
• Knowledge of model optimization techniques preferred.

Benefits

• Opportunity to work on cutting-edge AI technologies.
• Collaborative work environment with cross-functional teams.
• Professional development opportunities.
• Flexible working arrangements.
• Contributions to innovative projects.