2

Remote Monitoring Evaluation Learning Jobs in Washington

Machine Learning Engineer - Remote

Vienna, VA · On-site +1

$140K - $150K/yr

... Learning, Cyber Security and Cutting Edge Technology across the US Government. Be a part of ... Monitor production models for accuracy, drift, and latency; manage retraining schedules. Data ...

In this role, you will help improve next-generation AI systems by evaluating clinical content ... Direct experience with clinical trials as an investigator, sub-investigator, medical monitor ...

In this role, you will help improve next-generation AI systems by evaluating clinical content ... Direct experience with clinical trials as an investigator, sub-investigator, medical monitor ...

Senior Machine Learning Test Engineer

Washington, DC · On-site +1

$125K - $162K/yr

Familiarity with MLOps practices (model monitoring, drift, deployment checks) * Experience with ML evaluation methods, metrics, and benchmarking * Passion for learning new technologies and improving ...

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103K - $136K/yr

Retrain, maintain, and monitor models in production * Leverage or build cloud-based architectures ... Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating ...

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103K - $136K/yr

Retrain, maintain, and monitor models in production * Leverage or build cloud-based architectures ... Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating ...

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103K - $136K/yr

Retrain, maintain, and monitor models in production * Leverage or build cloud-based architectures ... Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating ...

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103K - $136K/yr

Retrain, maintain, and monitor models in production * Leverage or build cloud-based architectures ... Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating ...

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103K - $136K/yr

Retrain, maintain, and monitor models in production * Leverage or build cloud-based architectures ... Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating ...

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103K - $136K/yr

Retrain, maintain, and monitor models in production * Leverage or build cloud-based architectures ... Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating ...

Showing results 41-60

Remote Monitoring Evaluation Learning information

What is the difference between Remote Monitoring Evaluation Learning vs Remote Data Analyst?

AspectRemote Monitoring Evaluation LearningRemote Data Analyst
Primary FocusMonitoring, evaluating, and learning from programs or projects to improve outcomesAnalyzing data sets to identify trends, generate reports, and support decision-making
Required SkillsMonitoring tools, evaluation methodologies, learning frameworks, data collectionStatistical analysis, data visualization, database management, programming skills
Work EnvironmentFieldwork, program sites, remote collaboration with teamsOffice or remote, primarily computer-based work
Common CertificationsMonitoring and Evaluation (M&E) certifications, learning frameworksData analysis certifications, statistical software training

Remote Monitoring Evaluation Learning professionals focus on assessing program performance and fostering continuous improvement through evaluation and learning. In contrast, Remote Data Analysts primarily analyze data to support strategic decisions. While both roles require data skills, M&E emphasizes evaluation methodologies and learning frameworks, whereas Data Analysts focus on statistical analysis and data management.

What are the most commonly searched types of Monitoring Evaluation Learning jobs in Washington?

The most popular types of Monitoring Evaluation Learning jobs in Washington are:

What cities in Washington are hiring for Remote Monitoring Evaluation Learning jobs?

Cities in Washington with the most Remote Monitoring Evaluation Learning job openings:

Machine Learning Engineer - Remote

Halvik

Vienna, VA • On-site, Remote

$140K - $150K/yr

Full-time

Re-posted 22 days ago


Job description

Halvik Corp delivers a wide range of services to 13 executive agencies and 15 independent agencies. Halvik is a highly successful WOB business with more than 50 prime contracts and 500+ professionals delivering Digital Services, Advanced Analytics, Artificial Intelligence/Machine Learning, Cyber Security and Cutting Edge Technology across the US Government. Be a part of something special!
Role and Responsibilities
Model Development
  • Collaborate with data scientists and SMEs to develop ML models using curated datasets.
  • Conduct experiments, prototypes, and proof-of-concepts to validate model performance.
  • Create scalable and reusable training pipelines using Databricks notebooks and MLflow.

Implementation and Optimisation
  • LLMs (Large Language Models), RAGs, and AI agent systems for various business applications. Deployment & MLOps
  • Operationalize models with robust CI/CD workflows.
  • Deploy models usingMLflow, SageMaker, or custom APIs.
  • Monitor production models for accuracy, drift, and latency; manage retraining schedules.

Data Integration & Architecture Alignment
  • Work closely with Data Engineering to align ML pipelines with the Bronze, Silver, Gold layers of a Medallion Architecture.
  • Engineer high-quality features and maintain training/inference pipelines.

Cloud and Platform Engineering
  • Leverage AWS services including S3, EC2, Lambda, SageMaker, and Step Functions.

Collaboration & Documentation
  • Document ML artifacts, processes, and performance outcomes.
  • Contribute to agile project ceremonies and maintain a feedback loop with stakeholders.
  • Share knowledge and mentor junior team members.

Required Skills:
  • 5+ years of experience in ML Engineering or Applied Machine Learning.
  • Strong Python skills and hands-on experience with ML libraries (e.g., scikit-learn, XGBoost, PyTorch, TensorFlow).
  • Proficient with Databricks, MLflow, and PySpark.
  • Solid understanding of model lifecycle and MLOps practices.
  • Experience with AWS-based data infrastructure and related DevOps practices.
  • Demonstrated ability to productionize models and integrate with business system
  • Strong understanding of mathematics and statistics relevant to machine learning and AI.
  • Proven experience with machine learning models and algorithms (supervised, unsupervised, deep learning, etc.).
  • Solid background in software engineering principles and best practices.
  • Hands-on experience with model training frameworks (e.g., TensorFlow, PyTorch, Hugging Face).
  • Experience with MLOps tools and workflows, particularly on AWS (SageMaker, Lambda, S3, etc.).
  • Practical experience with LLMs, RAGs, and AI agent architectures.
  • Proficiency with the Databricks platform for data engineering and ML pipelines.
  • Advanced programming skills in Python.
  • Excellent communication and teamwork abilities.

Preferred Skills:
  • Experience building and deploying interactive UIs for AI models using Streamlit, Gradio, or similar frameworks for rapid prototyping and real-time model interactions
  • Business acumen and ability to align AI solutions with organizational goals.
  • Optimize compute and storage resources for performance and cost-efficiency.

Halvik's pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
Halvik Corp is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.
Halvik's pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.