3 hours ago
Remote, United StatesMid Level
Responsibilities
- Develop, train, test, evaluate, and optimize machine learning models for predictive analytics, classification, and data-driven decision-making.
- Prepare data through ingestion, preprocessing, normalization, validation, enrichment, and feature engineering across structured and semi-structured sources.
- Build reusable data pipelines and ML capabilities for model training, evaluation, inference, and operational integration.
- Integrate ML models with data pipelines, APIs, and application services, and support packaging, version control, deployment, troubleshooting, and production readiness.
- Develop model testing and validation procedures, monitor model outputs and performance, identify data quality issues, and support ongoing maintenance and improvement.
- Collaborate with cross-functional technical and product teams to translate business needs into ML experiments, designs, and implementation tasks.
- Document model architectures, experiments, evaluation results, deployment procedures, and technical decisions.
- Solve complex technical problems using Appian, design business logic and process models, provide technical leadership, mentor junior developers, conduct code reviews, and present technical material to client leadership.
Requirements
- Bachelor’s degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, Engineering, or a related technical field.
- Equivalent combinations of relevant education, technical training, and professional experience may be considered.
- Experience developing, training, evaluating, and optimizing ML models with Python, scikit-learn, pandas, and NumPy.
- Hands-on experience with Databricks for data processing, model development, experimentation, and ML workflows.
- Experience with data preprocessing, feature engineering, data validation, and structured and semi-structured datasets.
- Familiarity with ML model deployment, APIs, and integration with data pipelines or application services.
- Experience using Git and GitHub for source control, collaboration, and code management.
- Experience developing or maintaining GitHub Actions workflows for automated testing, builds, and deployment.
- Understanding of ML evaluation metrics, testing methodologies, and model performance monitoring.
- Ability to write clean, maintainable, and well-documented Python code and collaborate effectively in cross-functional Agile teams.
- Preferred qualifications include relevant ML, Databricks, cloud technology, or MLOps certifications or training; government contracting or regulated-industry experience; familiarity with identity and access management, data platforms, or enterprise SaaS; and experience with Jira and Confluence.
- Candidates must be a US Citizen or a Legal Permanent Resident with Green Card status for 3 years and be Federal Tax compliant.
Benefits
- Benefits include training and career development opportunities, flexible work schedules, and a generous compensation package.
- The employer promotes work-life balance, employee wellness, collaboration, and an inclusive environment.
Categories
About Makpar
Makpar is a privately held IT services firm that builds and supports cloud, data, cybersecurity, and identity solutions for U.S. federal agencies. The company delivers program and project management, compliance, and modernization consulting as professional services rather than packaged software. Founded in 2008 and headquartered in Herndon, Virginia, it focuses on lifecycle support across government IT portfolios, from strategy through implementation and ongoing operations.