14 cloud ml engineer jobs at 8 companies in Anna, OH
2mo
Save
Mark Applied
Hide
2mo
Senior AI/ML & Cloud Native Software Engineer
Beavercreek, Ohio, United States
OnsiteFull Time
Parallax Advanced Research: Conducts advanced research and develops technology for government and academic clients.
8+ YOEUS citizen with active TS/SCI clearance, Bachelor's in CS or related, 8+ years software engineering (5+ in DevSecOps/AI/ML). Proficient in Python/Java, AI/ML frameworks, MLOps, containerization, Kubernetes, CI/CD, and data engineering.
NSWC- Senior AI/ML Engineer (Computer Engineer IV)- Bedford, IN
Bedford or Crane or Washington or Tampa or Dayton or United States
OnsiteFull Time
Barbaricum: Provides technology and mission support to federal national security agencies.
10+ YOE10+ years in AI/ML engineering, software development, or applied data science; bachelor's degree; active DoD Secret clearance; expertise in LLMs, RAG, MLOps, ML frameworks, and secure cloud environments.
Booz Allen HamiltonNYSE: BAH: Provides technology and management consulting services to diverse organizations.
Requires 5+ years designing large-scale cloud applications, MBSE, architecture standards, DoD enterprise architecture, Secret clearance, and a STEM bachelor's degree. Cloud, Agile, systems engineering, and relevant certifications preferred.
Booz Allen HamiltonNYSE: BAH: Consulting and technology services for government and commercial clients
5+ YOERequires 5+ years designing large-scale cloud applications, MBSE experience, DoD architecture knowledge, Secret clearance, and a STEM bachelor's degree.
Booz Allen HamiltonNYSE: BAH: Provides technology and management consulting services to diverse organizations.
5+ YOERequires 5+ years in data architecture, design, or engineering; cloud migration, ETL, pipelines, databases, AI/ML integration, AWS, TS/SCI clearance, and a bachelor's degree in computer science or a technical discipline.
Expression Networks: Develops software and spectrum management for defense agencies.
10+ YOEBachelor’s degree in a technical discipline and 10+ years’ experience in applications or software engineering; AWS, AI/ML, cloud-native architectures, DevSecOps, CI/CD, infrastructure as code, and DoD IL5 experience required.
Booz Allen HamiltonNYSE: BAH: Consulting and technology services for government and commercial clients
3+ YOERequires 3+ years developing imagery algorithms, Python/MATLAB/C/C++, containerization, APIs, TS/SCI clearance, a STEM bachelor's degree, and willingness to take a polygraph; cloud and ML experience preferred.
Python, MATLAB, C, C++, Podman, Docker, PyTorch, OpenCV, AWS, Azure, Google Cloud Platform, Kubernetes, GitLab, APIs, Microsoft SharePoint, RDMS, NoSQL
Booz Allen HamiltonNYSE: BAH: Consulting and technology services for government and commercial clients
8+ YOE8+ years in remote sensing/image or signal processing, active TS/SCI clearance, Bachelor's in STEM, experience with Python/C++/CUDA/HPC/cloud, ML for imagery, CI/CD (Kubernetes, Docker, Jenkins).
TrimbleNASDAQ: TRMB: Provides hardware and software for precision positioning and modeling.
8+ YOE8+ years technology experience with 3–5+ years in AI/ML or GenAI architecture; expertise with Google Gemini/GCP (Vertex AI, BigQuery, Cloud Functions), LLMs, RAG, agents, MLOps/ModelOps, Oracle and Salesforce integrations, RPA, API design, and Agile tools (JIRA/Confluence).
BirlasoftNational Stock Exchange of India: BSOFT: Provides digital transformation and IT consulting services for global enterprises.
5+ YOE5+ years backend experience with Java 17+ and Spring ecosystem, experience integrating AI/ML (Spring AI, LangChain4j), SQL and vector DB knowledge, microservices, message brokers, cloud experience, and strong system design skills.
Core Java, Java 17+, Spring Boot, Spring Cloud, Spring Security, Spring AI, LangChain4j, PostgreSQL, Pinecone, Elasticsearch, GitHub Copilot, Cursor, Kafka, RabbitMQ, AWS, Azure, GCP, SQL
Scotts Miracle-GroNYSE: SMG: Manufactures and sells consumer lawn and garden care products.
Proven leadership of data science teams, strong ML foundations, production ML engineering and MLOps experience, agentic AI fluency, and ability to tie models to business outcomes.