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Machine Learning Engineer
il y a 6 heures
We are seeking a highly experienced
Senior Forward Deployment Engineer
to lead the technical implementation, integration, and production rollout of advanced Agentic AI platforms in large-scale enterprise environments. This role combines deep engineering expertise, strong DevOps capabilities, and hands-on ML operationalization skills to ensure seamless deployment, scalability, and reliability of AI-driven systems.
This is a senior engineering position requiring ownership, architectural thinking, and the ability to collaborate directly with enterprise technical teams, product engineering, and leadership stakeholders.
Key Responsibilities
1. Deployment Engineering
- Lead the
end-to-end technical deployment
of the Agentic AI platform across complex enterprise environments. - Architect, design, and build
integration pipelines
connecting customer systems, APIs, databases, and enterprise applications. - Deploy, operate, and scale
machine learning models
in production with a focus on performance, reliability, and monitoring. - Automate end-to-end deployments using
CI/CD pipelines
,
infrastructure-as-code
, and
container orchestration tools
(Docker, Kubernetes). - Ensure smooth rollout, versioning, and updates across staging, pre-prod, and production environments.
2. AI Platform Integration & Optimization
- Implement and customize platform components,
SDKs, APIs, extensions, and microservices
to meet customer-specific use cases. - Build tools and automation scripts for
data preprocessing
,
feature engineering
,
batch/real-time inference
, and model lifecycle operations. - Optimize model serving layers for
low latency
,
high throughput
, and
efficient resource utilization
. - Improve caching, load balancing, and inference pipelines to support mission-critical AI workloads.
3. Reliability, Security & Compliance
- Architect deployment solutions aligned with
enterprise-grade reliability, resilience, and observability
standards. - Implement best practices for
security
, including encryption, IAM, secret management, and network policies. - Ensure platform deployments comply with
SOC2, HIPAA, GDPR
, and industry-specific regulatory requirements. - Set up robust monitoring, logging, and alerting frameworks for proactive issue resolution.
4. Engineering Leadership & Technical Escalation
- Act as the
senior technical lead
on customer deployments, owning resolution of complex engineering challenges. - Work directly with customer engineering, infrastructure, and architecture teams to embed the platform into core production workflows.
- Provide critical field insights and feedback to the
product engineering team
for continuous platform improvement. - Lead deep-dive technical investigations, post-mortems, performance tuning, and scalability assessments.
