AI/ML Engineer

🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

🤖 Machine Learning Engineer

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GLOBO

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🏥 Healthcare

⚖️ Legal

📣 Marketing

💰 Private Equity Round on 2022-01

Healthcare • Legal • Marketing

GLOBO is a company focused on providing language support and communication solutions. Their services include interpreting, translation, and platform integrations to help manage and monitor language support needs efficiently. GLOBO aims to simplify language access across various industries through features like smart, skills-based routing for interpreters and accurate translation processes. The company emphasizes high-quality customer support, scalable solutions, and innovative integrations, which can be utilized in fields such as Telehealth and Project Management.

📋 Description

• Build and maintain reliable ingestion pipelines using Snowflake Openflow, Python, and Snowflake, including API, PostgreSQL, and CDC-based integrations • Develop incremental synchronization, cursor/state management, retry logic, schema-drift handling, soft-delete propagation, and source-to-target reconciliation • Transform raw source data into trusted datasets for analytics, reporting, and machine-learning workloads • Apply data-quality checks and maintain source definitions, documentation, lineage, metadata, and data contracts • Implement monitoring, alerting, automated regression testing, data masking, redaction, access controls, and PII/PHI safeguards • Ensure AI/ML outputs are traceable to source data, model or prompt versions, feature sets, and evaluation results • Define recovery procedures, escalation paths, and operational runbooks for critical pipelines and models • Support human review and approval for sensitive or high-impact model outputs • Collaborate with Product and Engineering to ship AI-powered features into the GLOBO platform • Build and deploy LLM integrations using AWS Bedrock and Anthropic Claude, plus agentic workflows with CrewAI and LangChain • Write production-quality code with tests, documentation, and error handling • Implement guardrails, monitoring, and alerting for production AI services • Optimize Snowflake, dbt, Openflow, ingestion, model selection, prompts, token usage, batching, caching, inference frequency, and provider routing • Establish service-level targets for critical datasets, transformations, batch jobs, and model-serving workflows

🎯 Requirements

• Bachelor’s Degree in Computer Science, Data Science, Information Systems, or related field • 2+ years of experience in data engineering, software development, or ML engineering • Advanced proficiency in Python • Advanced proficiency in SQL • Experience with LLM integration using AWS Bedrock, Anthropic Claude, or OpenAI API • Experience with dbt for data transformation and testing • Experience with Snowflake or a similar cloud data warehouse • Experience with AWS Lambda or serverless architecture • Familiarity with model evaluation techniques, prompt engineering, and AI safety best practices • Ability to work independently in a decentralized environment • High level of integrity, initiative, accountability, and follow-through • Problem-solving and decision-making skills • Ability to manage multiple initiatives and prioritize needs • Authorized to legally work for any employer in the United States • Willingness to submit to requested background checks • Fluent in English • Preferred: Fivetran, agentic frameworks, Airflow, vector databases, AWS ECS/EKS, AWS CDK, CloudFormation, Ruby on Rails, Redis, PostgreSQL, React, Google Docs, and Apple/Mac Operating System