PA
PartSpaceMachine Learning Engineer – m/f/d
Machine Learning Engineer responsible for optimizing AI pipelines at Easy2Parts. Join a growing team to revolutionize component sourcing with AI technology.
About the role
- Translate the client’s business requirements into specific systems, applications and/or process designs for custom technical solutions.
- Design, develop and implement total systems solutions to the enterprise-wide technical requirements of customers.
- Work with the IT Architecture team to balance the needs of sales and delivery to design a solution that meets or exceeds the requirements of service delivery.
- Design and implement security controls for AI/ML systems hosted on-premises, including model training, inference, and data pipelines.
- Implement multi-agent orchestration for autonomous decision-making and task delegation.
- Develop ML models for threat detection, anomaly detection, and behavioral analysis.
- Define and enforce AI observability, monitoring, and MLOps best practices for on-prem deployments.
- Integrate AI tools into existing on-premises security workflows and incident response systems.
Requirements
- Hands-on experience with MCP, LangChain, LangGraph, AutoGen, CrewAI
- Strong Python programming skills; familiarity with OpenAI, Anthropic, Mistral APIs (via private gateways or on-prem deployments)
- Deep understanding of LLMs, RAG pipelines, vector databases, and memory architectures
- Experience deploying AI/ML systems in secure, air-gapped, or regulated on-prem environments
- Knowledge of AI safety, interpretability, and alignment principles.
- Proficiency in backend development (e.g., Python, Java, Node.js)
- Experience with frontend frameworks (e.g., React, Angular, Vue.js)
Benefits
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
NO
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