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Machine Learning Platform Engineer

Bairesdev — Unknown · Posted ~1 day ago

Mid Full-time Remote

Skills

Machine learning infrastructure AI application deployment Production engineering Model gateways Evaluation pipelines Cloud/infrastructure architecture Scalable AI systems Machine Learning Artificial Intelligence AI infrastructure

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Summary ✨ AI‑Generated

Join a globally distributed engineering team as a Machine Learning Platform Engineer, building and maintaining production-grade infrastructure for developing, deploying, evaluating, and scaling AI-driven applications. You will bridge machine learning research and production engineering, with responsibility for robust model gateways and efficient evaluation pipelines. The role offers remote work and meaningful opportunities for technical and career growth.

Highlights

Fully remote role focused on building production-grade AI infrastructure, connecting machine learning research with production engineering, and working on scalable systems with significant global impact. Offers strong opportunities for technical growth and career development.

Description

At BairesDev®, we've been leading the way in technology projects for over 15 years. We deliver cutting-edge solutions to giants like Google and the most innovative startups in Silicon Valley. Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive significant impact worldwide. When you apply for this position, you're taking the first step in a process that goes beyond the ordinary. We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success. ML Platform Engineer (AI) at BairesDev As an ML Platform Engineer (AI), you will build and maintain the internal infrastructure required to develop, deploy, and scale AI-driven applications. You will act as the link between machine learning research and production engineering, ensuring that model gateways and evaluation pipelines are robust and efficient. What You'll Do Architect and manage production-grade internal AI infrastructure, including model gateways and agent deployment platforms. Design and implement automated evaluation pipelines to ensure the quality and reliability of LLM outputs. Build and optimize scalable vector stores to support retrieval-augmented generation and efficient data retrieval. Deploy and manage high-performance LLM serving solutions using technologies like vLLM and TGI. Implement comprehensive observability and monitoring frameworks to track model performance and system health. Collaborate with application teams to standardize workflows for continuous model training, inference, and security. What We Are Looking For 4+ years of experience in ML Platform Engineering, DevOps, or Infrastructure Engineering. Proven expertise in building and managing internal AI infrastructure, including model gateways and evaluation pipelines. Strong proficiency with Kubernetes and Docker for orchestrating containerized workloads. Hands-on experience with LLM serving frameworks like vLLM or TGI and cloud AI services such as AWS Bedrock or Azure OpenAI. Advanced proficiency in Python and observability tools like Langfuse or LangSmith. Advanced proficiency in English. How we do make your work (and your life) easier: 100% remote work (from anywhere). Excellent compensation in USD or your local currency if preferred Hardware and software setup for you to work from home. Flexible hours: create your own schedule. Paid parental leaves, vacations, and national holidays. Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent. Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities. Join a global team where your unique talents can truly thrive and make a significant impact! Apply now! #BD-PRIO-2026