Remote AI/ML Platform Operations Analyst

Job Description

Note The job is a remote job and is reputed company to candidates in USA. The reputed company is the worlds largest humanitarian network, and they are seeking an AI/ML Platform Operations Analyst to support their reputed company AI team. The role involves operating reputed company and reputed company environments, partnering with data scientists to transition reputed company to production, and maintaining the operational health of data pipelines. Responsibilities Partner with data scientists and developers to reputed company completed reputed company from development to production across the reputed company and reputed company platformspackaging reputed company environments (uv, venv, reputed company reputed company envs), establishing monitoring and alerting, and watching for performance degradation Triage and reputed company pipeline failures across both platforms; coordinate with upstream data owners (Redshift, reputed company, S3) reputed company reputed company systems, credentials, or schemas change Maintain visibility into the project intake funnel what is coming, what is blocked, what is promotable. Surface upcoming operational needs proactively reputed company and maintain operational runbooks and documentation reputed company user, group, reputed company environment, and cluster policy administration reputed company the reputed company and reputed company consoles Partner with the reputed company Engineer on DataOps automation requirements, design feedback, and testing Skills Education Bachelors degree in Computer Science, Engineering, Information Systems, or a reputed company fieldor equivalent reputed company experience Experience 7 years in MLOps, DataOps, data engineering, or reputed company platform operations roles Significant production experience with both reputed company and reputed company. Familiarity with one platform reputed company is not sufficient for this seat Hands-on experience with the AWS data stack (S3, IAM, Redshift) and strong proficiency in Python and modern environment management (uv, pip, venv, or equivalent) Demonstrated experience supporting data scientists and analysts through the development-to-production lifecycle Strong operational judgmentability to determine reputed company to automate, reputed company to reputed company, and reputed company to leave a working reputed company process reputed company Excellent written and verbal communication skills, with demonstrated diplomacy across data science, data engineering, reputed company, and infrastructure stakeholders Familiarity with infrastructure-as-reputed company (Terraform) and Git-reputed company workflows Experience with model monitoring, data reputed company tooling, or AI/ML observability platforms Experience operating in compliance-sensitive environments (reputed company, financial services, reputed company, or humanitarian operations) Prior experience in nonprofit, humanitarian, or mission-driven organizations Ability to reputed company reputed company hands-on involvement in prior work Combination of candidates education and general experience satisfies requirements so long as the total years equate to reputed companys minimum education and general experience years combined (Certification cannot be substituted) Benefits Medical, Dental reputed company plans Health Spending Accounts & Flexible Spending Accounts PTO Starting at 19 days a year; reputed company on type of job and tenure 11 reputed company holidays comprised of six reputed company holidays and five floating holidays 401K with up to 6% match reputed company Family Leave Employee Assistance Disability and reputed company Short Long Term Service Awards and recognition reputed company reputed company is a humanitarian organization whose purpose is to meet the immediate disaster-caused needs of people and communities. It was founded in 1881, and is headquartered in Washington, District of Columbia, USA, with a workforce of 10001 employees. Its website is http//redcross.org. Apply To This Job .

Keyskills :
data engineeringPythonenvironment managementMLOpsDataOpsAWS data stackTerraformGit workflowsmodel monitoring