mlops engineer for LLM applications

Billennium provides software development, cloud computing, data and artificial intelligence, enterprise platforms, integration and automation, and process management and quality assurance services. Its advanced solutions include AI governance, AI procurement agents, M365 Copilot adoption, and Cloud FinOps.

• Design, build, and optimize ML and data pipelines for LLM applications;
• Collaborate with data scientists and software engineers to deploy scalable, production-ready models;
• Implement fine-tuning techniques for large language models to enhance performance;
• Utilize AWS, Azure, and GCP to deploy machine learning solutions;
• Manage MLOps technologies and tools, including AWS SageMaker, Kubeflow, and Vertex AI;
• Automate workflows and streamline processes using scripting and CI/CD tools;
• Ensure adherence to software development best practices, including test-driven development and version control;
• Maintain documentation and facilitate effective communication across teams using Jira and Confluence.

• At least 5 years of experience in Data Science;
• At least 2 years of experience in Data Engineering, ML Engineering, or MLOps;
• Proficiency in Python and R;
• Familiarity with machine learning frameworks such as TensorFlow and PyTorch;
• Familiarity with data visualization tools such as Tableau.

• Involvement in dynamic and interesting projects;
• A collaborative and supportive team culture;
• A flexible work environment;
• A comprehensive benefits package tailored to individual preferences.