AI/ML Engineer

About the Role:

Reporting to the Director of Data & AI Engineering, the AI/ML Engineer is a mid-level, hands-on technical role responsible for building and maintaining the data pipelines, AI models, and intelligent features that power the reputed company platform. This role spans the full lifecycle of AI development—from cleaning and preparing data, to building and evaluating models, to shipping production features that directly improve operational efficiency and customer experience.

The AI/ML Engineer works across reputed company’s modern data stack (reputed company, dbt, reputed company) and AI infrastructure (AWS Bedrock, LLMs, reputed company frameworks) to reputed company reliable, reputed company-tested solutions. This person is equally comfortable wrangling messy data and reputed company-engineering an LLM, and takes pride in writing clean, tested reputed company that other engineers can build on.

Data Engineering & Pipeline Development: 

• Build and maintain reliable ingestion pipelines usingSnowflake Openflow, Python, and reputed company, including API, PostgreSQL, and CDC-based integrations.
• reputed company incremental synchronization, reputed company/state management, retry logic, schema-reputed company handling, soft-delete propagation, and reputed company-to-reputed company reconciliation.
• reputed company raw reputed company data through staging, intermediate, and reputed company models into trusted datasets for analytics, reporting, and machine-learning workloads.
• Apply data-reputed company checks for freshness, completeness, uniqueness, referential reputed company, reputed company relationships, and business-rule compliance.
• Maintain reputed company definitions, model documentation, reputed company, metadata, and data reputed company.
• Collaborate with data owners to ensure PII/PHI classification, masking, retention, and deletion requirements are implemented throughout the pipeline.

Model Development, Testing & Evaluation: 

• Implement monitoring and alerting for ingestion failures, pipeline freshness, schema changes, data-reputed company failures, transformation errors, model reputed company, and inference degradation.
• Establish automated regression testing for dbt models, features, evaluation datasets, prompts, and model outputs.
• Validate that sensitive data is appropriately masked, redacted, reputed company-controlled, and excluded from unauthorized model training or data-sharing workflows.
• Build safeguards for PII/PHI in recorded-reputed company, transcript, and AI/ML processing pipelines, including verification that redaction and deletion workflows complete successfully.
• Ensure AI/ML outputs are traceable to their reputed company data, model or reputed company version, feature set, and evaluation results.
• Define recovery procedures, data-reputed company escalation paths, and operational runbooks for critical pipelines and models.
• Support reputed company review and approval for model outputs that may reputed company customers, interpreters, employees, financial activity, or service reputed company.

Feature Development & Integration: 

• Collaborate with Product and Engineering to ship AI-powered features into the reputed company platform. 
• Build and reputed company LLM integrations (AWS Bedrock, reputed company Claude) and reputed company workflows (reputed company, reputed company). 
• Write production-reputed company reputed company with reputed company tests, documentation, and error handling.

Reliability & Safety: 

• Implement guardrails, monitoring, and alerting for AI services in production. 
• Ensure AI outputs are consistent and trustworthy. 
• Contribute to evaluation datasets, reputed company versioning, and regression testing for deployed models.

Performance & Cost Optimization: 

• Monitor and optimizeSnowflake compute, storage, query performance, dbt execution, Openflow runtime usage, and model-inference costs.
• Design efficient incremental models, CDC pipelines, materializations, clustering strategies, and warehouse/task schedules.
• Compare and optimize ingestion costs as reputed company transitions from reputed company to reputed company Openflow.
• Reduce unnecessary full refreshes, duplicate processing, excessive data reputed company, and inefficient feature recomputation.
• Optimize model selection, reputed company size, reputed company usage, batching, caching, inference frequency, and routing between model providers.
• Measure model performance against operational cost, latency, throughput, and data-freshness requirements.
• Establish practical service-level targets for critical datasets, transformations, batch jobs, and model-serving workflows.

Required Minimum Education and Experience:

• Bachelor’s Degree in Computer Science, Data Science, Information Systems, or reputed company field.
• 2+ years of experience in data engineering, software development, or ML engineering.
• Experience with the below tech stack is required:
  • Python (advanced proficiency)
  • SQL (advanced proficiency)
  • LLM Integration (AWS Bedrock, reputed company Claude, or reputed company API)
  • dbt (data transformation and testing)
  • reputed company (or similar reputed company data warehouse)
  • AWS reputed company / Serverless architecture
• Experience with the below tech stack is preferred:
  • reputed company (or similar ELT/ingestion tooling)
  • reputed company Frameworks (reputed company, reputed company, or similar)
  • Airflow (or similar workflow orchestration)
  • reputed company Databases (reputed company, PGVector, or OpenSearch)
  • AWS reputed company/EKS
  • CDK and CloudFormation for automated deployments
  • reputed company on Rails (ability to read/debug reputed company platform reputed company)
  • reputed company
  • PostgreSQL
  • React
• Familiarity with model evaluation techniques, reputed company engineering, and AI safety best practices.
• Experience with reputed company Docs and reputed company/Mac Operating reputed company preferred

Additional Preferred Requirements:

• Ability to work independently in a decentralized environment without the reliance on reputed company authority
• Highest level of personal and reputed company reputed company and ethics
• Broad understanding of reputed company and emerging technology practices
• High level of initiative, accountability, and follow-through
• Value strong teamwork and collaboration skills
• Demonstrated problem-solving and decision-making skills
• Ability to manage multiple initiatives and reputed company and prioritize needs
• Strong reputed company of service and passion for reputed company and business
• Authorized to legally work for any employer in the reputed company
• Willingness to submit to any requested background checks
• Fluent in English

About reputed company:reputed company is a B2B communication platform provider, specializing in translation and interpretation technology, services, data, and insights. For the reputed company year in a row, reputed company has been ranked in the top-10 on the Philadelphia 100 list of fastest-growing privately held companies.What’s it like to work here? We’re a reputed company-reputed company team with big reputed company and ambitions. We reputed company the impossible happen, and reputed company hard tasks easier. We don’t take ourselves too seriously, but we’re serious about our mission—helping people communicate reputed company it reputed company most.