Senior AI Platform Engineer

Company Description Effulgent Inc is a technology consultancy founded in 2021 that helps businesses accelerate digital transformation through scalable cloud integration and strategic IT guidance. The company provides talent solutions, custom software development, cloud‑native engineering, and data & analytics services to support performance and growth. Effulgent Inc partners with organizations across industries to modernize their technology stack and optimize their digital capabilities. Team members collaborate with clients on impactful projects that leverage cutting-edge tools, architectures, and practices.
Role Description The Senior AI Platform Engineer contract role is a remote position responsible for designing, building, and maintaining scalable AI and data platforms. Day-to-day work includes developing and integrating services and APIs, optimizing infrastructure for machine learning workloads, and ensuring reliable data pipelines and storage. The role involves troubleshooting platform issues, improving performance and reliability, and collaborating with data scientists, ML engineers, and software developers to operationalize AI models. The Senior AI Platform Engineer will also contribute to best practices, automation, observability, and documentation to support secure and efficient AI platform operations.
Qualifications
Candidates should possess strong Programming and Software Development skills for building services, APIs, and automation.
Candidates should possess solid Infrastructure experience for managing cloud-native environments, containers, orchestration, and CI/CD.
Candidates should possess Troubleshooting skills for diagnosing issues, improving performance, and ensuring platform reliability.
Candidates should possess Databases expertise for designing, querying, and optimizing data storage and retrieval across relational and NoSQL systems.
Experience with AI/ML platforms, data pipelines, and MLOps practices (e.g., model deployment, monitoring, and versioning).
Hands-on experience with major cloud providers (such as AWS, Azure, or GCP) and modern DevOps tooling.
Strong communication and collaboration skills, with the ability to work effectively in a remote, cross-functional environment.
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Skills
AWS, Azure, GCP, CI/CD, Machine Learning, Documentation

Experience
5+ yrs

Work arrangement
Yes