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Machine Learning Engineer
Job in
Richmond, Henrico County, Virginia, 23214, USA
Listed on 2026-10-16
Listing for:
Precise Analytics LLC
Full Time
position Listed on 2026-10-16
Job specializations:
-
IT/Tech
Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist, Data Engineering
Job Description & How to Apply Below
- Design and implement scalable machine learning models and pipelines
- Work with large-scale datasets to develop classification, regression, NLP, and time series forecasting solutions
- Collaborate with data engineers to ensure proper data collection, transformation, and feature engineering
- Deploy models to production using MLOps practices (Docker, CI/CD, model versioning)
- Conduct model performance evaluation, tuning, and retraining cycles
- Research and apply state-of-the-art techniques and open-source frameworks
- Communicate findings to stakeholders with clear visualizations and reports
- Support proposal development and client engagements involving AI/ML scopes
- Must-Have Qualifications
- Bachelor’s or Master’s in Computer Science, Data Science, Machine Learning, or a related field
- 3+ years of experience building and deploying ML models in production
- Proficiency in Python and ML libraries (scikit-learn, Tensor Flow, PyTorch, XGBoost)
- Strong understanding of data structures, algorithms, and statistics
- Experience with cloud platforms (AWS, Azure, or GCP) and containerization tools (Docker, Kubernetes)
- Familiarity with MLOps tools (MLflow, Sage Maker, Vertex AI, etc.)
- Excellent problem-solving, communication, and documentation skills
- Nice to Have
- Experience with NLP frameworks (spaCy, Hugging Face Transformers)
- Familiarity with Spark or distributed ML frameworks
- Prior experience working on federal data science or analytics contracts
- Knowledge of data privacy and compliance (GDPR, HIPAA, FedRAMP)
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