AI/ML Data Engineer

PRECISE SOFTWARE SOLUTIONS INCORPORATED•Washington, DC

2h•Onsite

About The Position

Precise Software Solutions Inc. is seeking an AI/ML Data Engineer to design and govern the data foundation behind secure AI-enabled applications for the U.S. Government. You will own AI-ready datasets, from ingestion and quality controls through privacy protection, lineage, and retrieval-quality measurement, so that every AI output can be traced back to trusted source data.

Requirements

Bachelor's degree in Computer Science, Engineering, Mathematics, Information Systems, or a related field and 5+ years of relevant experience. Equivalent experience may substitute for the degree.
5+ years of hands-on data engineering or database development experience, including data modeling, SQL, and ETL/ELT pipeline development.
Strong proficiency in Python and experience with data processing frameworks (e.g., pandas, Spark) and workflow orchestration tools (e.g., Airflow).
1+ year of experience preparing data for Generative AI or machine learning, such as embeddings, vector databases, RAG knowledge bases, or training and evaluation datasets.
Experience implementing data quality, lineage, metadata management, and data governance controls.
Experience protecting sensitive data (PII), including masking, minimization, and access controls.
Experience with a major cloud data platform (AWS, Azure, or Google Cloud), Git, and CI/CD tools.
Must be a U.S. citizen or lawful permanent resident (green card holder).
Must reside in the Washington, DC metropolitan area and be able to work on-site at Government offices.
Must be able to obtain and maintain a Public Trust background investigation.

Nice To Haves

Master's degree in a related field and 7+ years of data engineering experience, including support of federal agency programs.
Experience evaluating retrieval quality and building RAG pipelines with vector stores (e.g., pgvector, OpenSearch).
Experience with MLOps tooling, including model and dataset versioning, feature stores, or model registries.
Generative AI, LLM security, or data certification (e.g., Databricks Generative AI Engineer, Snowflake SnowPro, AWS, Microsoft Azure, or Google Cloud).
An active Public Trust or prior federal background investigation.

Responsibilities

Design and maintain data ingestion, transformation, and processing pipelines (ETL/ELT) for AI training, evaluation, retrieval, and operations, including support for data migration and cleansing.
Curate, validate, and version datasets, and maintain dataset inventories, metadata, lineage, provenance, and ingestion logs.
Implement automated data-quality checks for duplication, schema changes, completeness, and freshness, and maintain dataset quality scorecards and drift reports.
Design data models, vector stores, and embedding schemas for Retrieval-Augmented Generation (RAG) knowledge bases, and re-index content when sources change.
Measure retrieval and model quality against established baselines using metrics such as precision/recall, MRR, NDCG, and context relevance.
Prepare data-related deliverables, including AI model cards, ML and AI pipeline documentation, RAG/AI Pipeline Evaluation Reports, data dictionaries and embedding schema documentation, and responses to Government data calls.
Build secure structured-data access for AI applications (e.g., natural-language-to-SQL with query validation and role-based authorization), and support dashboards and operational analytics.
Monitor data and ML pipelines, troubleshoot failures, and support root-cause analysis, while keeping all data in FedRAMP-authorized cloud regions with FIPS-validated encryption.
Support Responsible AI practices by preparing representative evaluation datasets, testing AI outputs for bias, accuracy, and hallucination, and documenting results to meet federal AI governance requirements.
Secure the AI data path, from source datasets and embeddings to prompts and logs, and support AI risk testing such as data poisoning.

Benefits

Comprehensive Health Benefits (Medical, Dental and Vision)
Flexible Spending Accounts (FSA) & Health Savings Account (HSA)
Retirement Plan with 4% match and discretionary match at year end
Paid Time Off (PTO): 15 days of PTO accrued per year; 7 holidays+ 3 Floating holidays; 2 Innovation days (paid training days)
Short Term and Long-Term Disability
Paid Parental Leave
Paid Jury Duty leave
Life and AD&D Insurance
Critical Illness Insurance
Training and Development
Wellness Incentives & Discount programs
Employee Referral Program
Annual Charity Donation Match
Awards and Recognition