586 Machine Learning Information Technology jobs in Alexandria,VA

Age Requirement: Must be 18 years or older
Location: Alexandria, VA
Pay: $21.75 - $22.50 / hour
Availability: Morning, Afternoon, Evening (Includes Weekends).
Schedule: Full time
Required Qualifications
Customer service experience, preferably in a food service, grocery or retail setting
Proven ability to multi-task and handle interruptions in a fast-paced environment
Computer skills

U.S. Navy

Alexandria, VA 22304

NAFSA: Association of International Educators

Washington, DC 20254

One Medical

Washington, DC 20006

At least 6 months of relevant experience as a Medical Assistant or Phlebotomist outside of a training/externship environment OR successful completion of an Amazon Career Choice training program
Strong customer service skills, including ability to establish and maintain effective customer relationships and deliver customer-centric solutions
Strong written and verbal communication skills
A High School Diploma or equivalent
Proficiency in computer technology such as typing, navigating the internet and using multiple software systems simultaneously
Experience working on collaborative, diverse, multi-disciplinary teams (additional experience with remote teams a plus)
A proven ability to display confidence and instill trust during the collection process while delivering individualized, human-centered, customer-focused care
A proven track record of persisting through change, consistently stepping up to take action on challenges, and learning quickly and effectively when faced with new situations or tasks

NAFSA: Association of International Educators

Washington, DC 20557

Leidos

Temple Hills, MD 20757

An active TS/SCI clearance with willingness to obtain a Polygraph is required to be considered.
Bachelor's degree and 12+ years of relevant experience, or Master's degree and 10+ years of relevant experience in Data Science, Computer Science, Analytics, or related field. Additional experience may be considered in lieu of degree.
Demonstrated senior-level experience designing, training, and deploying machine learning models.
Strong coding skills in Python (or similar), with experience building scalable and maintainable solutions.
Demonstrated experience applying data science methodologies (machine learning, statistical analysis, data engineering) to real-world problems.
Experience structuring and processing large, complex, and unstructured datasets.
Experience processing unstructured data and documents (e.g., text, reports, open-source content).
Experience developing or supporting NLP capabilities, including querying across aggregated data sources.
Strong understanding of data pipelines, feature engineering, and model evaluation techniques.
Experience working with geospatial data and integrating spatial context into analytic workflows.
Strong research, critical thinking, and analytic writing skills.
Familiarity with working in high-side (classified) environments.
Experience operating effectively in fast-paced, mission-driven environments both independently and as part of a team.