MSH · 6 hours ago
Artificial Intelligence Engineer
United States
Contract
Remote
Senior Level
6+ years expMSH is seeking a Senior ML / Applied AI Engineer to join their Applied ML / Data Platform team. The role involves accelerating MLOps and applied ML platform capabilities, co-building core frameworks, and establishing standards for long-term ownership and knowledge transfer.
Management Consulting
Responsibilities
Partner closely with internal engineers to design and implement scalable ML workflows across development, training, and production
Build and enhance feature pipelines and training orchestration to support reproducibility and fast iteration
Establish best practices for model deployment, versioning, promotion, and rollback
Implement lifecycle management patterns for:
Training datasets and feature versions
Model artifacts and metadata
Inference endpoints and evaluation outputs
Design and operationalize LLM infrastructure for both current production needs and rapidly growing demand
Build frameworks and tooling to effectively harness LLMs, including:
Prompt and version management
Retrieval workflows (where applicable)
Evaluation harnesses and quality scoring
Latency and cost monitoring and optimization
Define and implement observability and governance standards (monitoring, drift detection, evaluation, auditability)
Collaborate with data pipeline engineers to ensure clean platform alignment and handoffs
Document patterns and deliver clear knowledge transfer, enabling the internal team to maintain and extend the platform independently
Qualification
Required
6+ years of experience in Applied ML Engineering, MLOps, or ML Platform Engineering
Strong understanding of ML model lifecycle management (data → training → deployment → monitoring)
Experience designing training and feature pipeline architectures
Proven ability to build production-grade ML systems, including: Model packaging and deployment, Versioning and artifact management, Evaluation and monitoring
Hands-on experience with LLMs in production (inference patterns, evaluation, cost/latency tradeoffs)
Strong software engineering skills (Python preferred) with clean coding, testing, and documentation practices
Comfortable working in an embedded, collaborative development model (PRs, shared repos, code reviews)
Preferred
Experience with ML orchestration and workflow tools (Airflow, Prefect, Dagster, Kubeflow)
Familiarity with experiment tracking and model registries (MLflow or similar)
Experience with containerized deployment and cloud-based ML environments
Strong perspective on LLM evaluation, governance, and operational safety
Background building internal ML platforms or developer tooling
Company
MSH
Scale your team with high-quality, vetted professionals.
201-500 employees
H1B Sponsorship
MSH has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
Funding
Current Stage
Growth StageLeadership Team
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CTO
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Chief Financial Officer & CxO
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