Note: The job is a remote job and is open to candidates in USA. Beacon Hill Technologies is seeking a highly technical engineer to own end-to-end platform integration and orchestration across their client's AI/ML ecosystem. This role focuses on connecting tools, enabling traceability, orchestrating workflows, and implementing observability across model, data, and infrastructure pipelines.
Responsibilities
- Own end-to-end platform integration and orchestration across our client's AI/ML ecosystem
- Connect tools
- Enable traceability
- Orchestrate workflows
- Implement observability across model, data, and infrastructure pipelines
- Ensure seamless integration between platforms
- Enforce structured delivery workflows
- Enable deep visibility into system performance and usage
Skills
- 3+ years of MLOps or ML platform engineering experience
- Strong experience with cloud platforms, specifically Microsoft Azure
- Hands-on experience integrating enterprise systems such as ServiceNow
- Experience with data platforms, particularly Snowflake
- Proficiency in CI/CD pipelines (e.g., Azure DevOps, GitHub)
- Experience implementing observability using tools like Datadog
- Strong understanding of: API integrations and distributed systems
- Strong understanding of: Telemetry (logs, metrics, traces)
- Strong understanding of: Workflow automation and orchestration
- Familiarity with DevOps practices and release management
- Ability to work across multiple teams and understand existing systems quickly
- Experience with LLM/AI systems observability, including usage tracking and model metrics
- Familiarity with Snowflake Cortex or similar AI/data platform capabilities
- Experience designing end-to-end traceability frameworks
- Knowledge of data pipeline architecture and data lineage
- Experience aligning tagging strategies and identifier schemas across systems
- Strong collaboration skills in cross-functional environments
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