Randstad Digital Americas · 15 hours ago
Machine Learning Engineer
Roanoke, TX
Full-time
Onsite
Senior Level, Lead/Staff
$71/hr - $72/hr
8+ years expRandstad Digital Americas is seeking a Machine Learning Engineer to establish pipelines and frameworks for deploying research models into production. The role involves ensuring scalable and secure services, providing clarity on ML models for business problems, and sharing knowledge with peers to enhance team impact.
Information Technology & Services
Responsibilities
Bachelor's or Master's in Computer Science, Artificial Intelligence, Machine Learning, or related field
8+ years of software engineering experience in APIs, cloud deployments, and system integration
3-5 years in ML engineering, with 2+ years in agentic or multi-agent systems
Proven must have experience building and deploying RAG pipelines using embedding models and vector search
Must have hands-on experience with vector databases such as FAISS, Pinecone, Weaviate, or Milvus
Must have experience with agent orchestration frameworks (LangChain, CrewAI, LangGraph, AutoGen etc )
Strong background in cloud-native software engineering and microservices architecture
Concrete understanding of traditional ML models and their usecses
Programming: Advanced Python skills; familiarity with C++, Java, or .NET is a plus
Cloud Platforms: Proficiency with AWS services (S3, Lambda, ECS, SageMaker, etc.)
Databases: Experience with Oracle, Snowflake, vector databases, and knowledge graphs (e.g., Neo4j, RDF/SPARQL)
DevOps: CI/CD pipelines, Docker, Kubernetes, GitHub Actions
AI Ethics: Understanding of Responsible AI principles and ability to identify and mitigate ethical risks
Good to have if you have exposure or worked on tools which aid for continuous model evaluation and alerting
Stay updated with the latest advancements in Machine Learning world and integrate them into projects
Communicate complex technical concepts to non-technical stakeholders
Qualification
Required
Bachelor's or Master's in Computer Science, Artificial Intelligence, Machine Learning, or related field
8+ years of software engineering experience in APIs, cloud deployments, and system integration
3-5 years in ML engineering, with 2+ years in agentic or multi-agent systems
Proven must have experience building and deploying RAG pipelines using embedding models and vector search
Must have hands-on experience with vector databases such as FAISS, Pinecone, Weaviate, or Milvus
Must have experience with agent orchestration frameworks (LangChain, CrewAI, LangGraph, AutoGen etc)
Strong background in cloud-native software engineering and microservices architecture
Concrete understanding of traditional ML models and their use cases
Programming: Advanced Python skills; familiarity with C++, Java, or .NET is a plus
Cloud Platforms: Proficiency with AWS services (S3, Lambda, ECS, SageMaker, etc.)
Databases: Experience with Oracle, Snowflake, vector databases, and knowledge graphs (e.g., Neo4j, RDF/SPARQL)
DevOps: CI/CD pipelines, Docker, Kubernetes, GitHub Actions
AI Ethics: Understanding of Responsible AI principles and ability to identify and mitigate ethical risks
Stay updated with the latest advancements in Machine Learning world and integrate them into projects
Communicate complex technical concepts to non-technical stakeholders
Preferred
Good to have if you have exposure or worked on tools which aid for continuous model evaluation and alerting
Experience building observability systems for agent performance tracking (e.g., Prometheus, Grafana, OpenTelemetry)
Strong grasp of AI safety, fairness, and governance
Ability to research, evaluate, and implement emerging tools and frameworks
Demonstrated success in proof-of-concept development, experimentation, optimization, and production deployment
Proficiency in designing scalable, distributed systems and cloud-native applications
Collaborative mindset with strong communication and problem-solving skills
Benefits
Medical
Prescription
Dental
Vision
AD&D
Life insurance offerings
Short-term disability
401K plan
Company
Randstad Digital Americas
Randstad Digital is a trusted digital enablement partner that facilitates accelerated transformation for businesses by providing global talent, capacity, and solutions across specialized domains.
10001+ employees
Funding
Current Stage
Late StageLeadership Team
Graig Paglieri
CEO, Randstad Digital Americas
Pascal de Hesselle
SVP, Executive Client Partner - Technology, Media & Telecom
Company data provided by crunchbase