Remote MLOps Engineer - 4-Day Week

MaziCTools; United States; Remote; USD 90,000 - 130,000; Part time

Job summary

MaziCTools is seeking a self-sufficient MLOps Engineer specializing in deploying Large Language Models (LLMs) into production. This role involves effective deployment, optimization, and integration of LLMs, while working closely with product and engineering teams.

The ideal candidate should have extensive experience in LLM management and strong technical proficiency in machine learning frameworks and cloud computing. This is a part-time remote position accessible from the United States, offering a 4 day work week.

Qualifications

• Extensive experience in deploying and managing Large Language Models, including all aspects of fine-tuning and integration.
• Strong skills in machine learning frameworks, cloud computing, and interacting with external applications.
• Ability to tackle challenges autonomously, applying innovative solutions to complex problems.
• Commitment to staying abreast of the latest developments in LLMs and MLOps.

Responsibilities

• Engage with product team to define ML project use cases precisely.
• Oversee the ML project lifecycle stages, including model selection and alignment.
• Optimize LLMs for inference and deploy them into production.
• Work to tailor LLMs to enhance products' functionality.
• Coordinate with the SRE team for integration into cloud infrastructure.

Skills

Expertise in LLM Deployment

Technical Proficiency

Independent Problem-Solver

Continuous Learner

Tools

Machine Learning Frameworks

Cloud Computing

Job description

MaziCTools is seeking a self-sufficient MLOps Engineer specializing in deploying Large Language Models (LLMs) into production. This role involves effective deployment, optimization, and integration of LLMs, while working closely with product and engineering teams.

The ideal candidate should have extensive experience in LLM management and strong technical proficiency in machine learning frameworks and cloud computing. This is a part-time remote position accessible from the United States, offering a 4 day work week.