45-hours Infant Toddle Certificate is required
CPR certification is required
Must be at least 20 years of age
Must complete the annual clock hours required by the Office of Child Care to advance or maintain childcare credentials
90-hour Child Care certificate required: Must have 45-hours Method and Materials and 45-hours Growth and Development
Two (2) years of child care experience required
AA degree (or the equivalent of 48 college credits), including at least 15 semester hours of coursework in the field of early education or childhood development required
Child Care Teacher II

Executive Administrative Assistant

TEKsystems

Laurel, MD 20707

Minimum of five (5) years of progressively responsible experience supporting senior-level executives, preferably across multiple divisions
Demonstrated experience supporting divisional budget management, including expense tracking and variance reporting
Demonstrated experience managing complex schedules, preparing executive reports, and coordinating high-level meetings
Associate degrees or equivalent combination of education and experience

Principal Program Planning Analyst/Scheduler

Northrop Grumman

Linthicum Heights, MD 21090

Paid Relocation to Linthicum Heights, MD

A final DoD Polygraph is required to start
Bachelor's degree with 5 years of professional related experience -OR - a Master's degree with 3 years of professional related experience
Will consider 9 years of applied experience in lieu of degree requirement
3 years of project scheduling experience using Microsoft Project, Oracle P6, Deltek Open Plan or other related scheduling tool
Experience using MS Office Suite, specifically Excel, PowerPoint, and Word
A current, active DoD TS/SCI Clearance

The Y of Central Maryland

Baltimore, MD 21215

SYSCO

Jessup, MD 20794

High school diploma or general education degree (GED); or equivalent combination of education and related experience.
1-3 years related experience and/or training.
Complete a Sysco approved defensive driving program.

Adecco

Bel Air, MD 21014

Perficient

Columbia, MD 21046

Hands-on experience designing and deploying LLM-backed applications in high-throughput production environments
A solid understanding of AI capabilities and limitations including ethical considerations
B.S. or M.S. in Computer Science or a related field or equivalent experience
Deep familiarity with the GCP AI stack: Vertex AI, BigQuery, Dataflow, and Kubernetes Engine (GKE)
Experience in core cloud platform technologies, specifically, Google
5+ years of software engineering experience with fluency in one or more languages, including Java and Python
Lead AI Engineer-Google Cloud
Solid understanding of distributed systems design, microservices, and API design principles (gRPC/REST)