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Data Curation Ai Machine Learning Jobs in Maryland

PassFort

Machine Learning Engineer

Berlin, MD · On-site

$79.93 - $137.02/hr

Lead data initiatives for the perception stack, from data pipelines and curation to model ... Build physical AI for the world's largest off-highway machinery - making them intelligent, safe ...

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Data Curation Ai Machine Learning information

What is a data curation AI machine learning specialist?

A Data Curation AI/Machine Learning specialist is a professional who manages, organizes, and prepares large datasets to be used in artificial intelligence and machine learning projects. They ensure that data is accurate, relevant, and accessible, often cleaning and labeling data so it can be effectively used to train machine learning models. Their role bridges the gap between raw data sources and the teams building AI solutions, enabling more reliable and efficient model development. They may also work with data governance, privacy, and compliance issues to ensure data quality and security.

What are the key skills and qualifications needed to thrive as a data curation AI machine learning specialist?

To thrive as a Data Curation AI Machine Learning Specialist, you need strong data management skills, a background in computer science or data science, and experience with machine learning principles. Familiarity with programming languages like Python or R, data labeling tools, and database systems, as well as certifications in machine learning or data engineering, are typically required. Attention to detail, critical thinking, and effective communication stand out as essential soft skills for managing complex datasets and collaborating with cross-functional teams. These skills ensure high-quality, well-organized data that drives accurate machine learning models and reliable AI outcomes.

What are some common challenges faced by data curation professionals working in AI and machine learning projects?

One of the key challenges data curation specialists encounter in AI and machine learning is ensuring the quality and consistency of large, diverse datasets. This often involves dealing with missing, incomplete, or biased data, which can impact model performance. Additionally, data curators must navigate evolving data privacy regulations and work closely with data scientists, engineers, and domain experts to align data preparation with project goals. Effective communication and a meticulous approach are crucial for maintaining data integrity and supporting robust machine learning outcomes.

What is the difference between Data Curation Ai Machine Learning vs Data Analyst?

AspectData Curation Ai Machine LearningData Analyst
Primary FocusPreparing and managing data for AI and ML modelsAnalyzing data to generate business insights
Skills RequiredData management, programming, understanding of AI/ML algorithmsStatistical analysis, data visualization, Excel, SQL
Tools UsedPython, R, SQL, data cleaning toolsExcel, Tableau, SQL, statistical software
Work EnvironmentData science teams, AI/ML projects, tech companiesBusiness departments, analytics teams, consulting firms

While Data Curation Ai Machine Learning specialists focus on preparing data for AI and machine learning models, Data Analysts interpret data to support business decisions. Both roles require strong data skills but differ in their primary objectives and tools used.

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Data Curation Ai Machine Learning jobs near you

AI/Machine Learning Specialist

Black Canyon Consulting

Bethesda, MD • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 19 days ago

Job description

Overview
Black Canyon Consulting (BCC) seeks a AI/Machine Learning Specialistthat will lead design and deployment of AI/ML models that advance MC&FP's mission outcomes while ensuring ethical and compliant use.
We attract the best people in the business with our competitive benefits package that includes medical, dental and vision coverage, 401k plan with employer contribution, paid holidays, vacation, and tuition and conference reimbursement. If you enjoy being a part of a high performing, professional service and technology focused organization, please apply today!
Duties & Responsibilities:
  • Designs AI/ML prototypes, prompt engineering libraries, and ethical AI frameworks aligned with DoD AI Ethics Principles.
  • Implement data pipelines and model governance controls
  • Collaborate with DoD CIO on AI ethics and RMF AI risk alignment
Minimum Qualifications:
  • 8 + years of experience in AI, ML, or data science solutions
  • Bachelor's in Data Science, CS, or Engineering
  • Experience handling Controlled Unclassified Information (CUI) at minimum
  • Public Trust eligibility
    • must have at least Public Trust or ADP/IT-2 investigations
  • Experience with Python, TensorFlow, or PyTorch

Preferred Qualifications:
  • CQA, CMQ/OE, or equivalent certification
  • Experience supporting DoD quality programs
  • Experience handling Controlled Unclassified Information (CUI) at minimum
  • Experience supporting DoD quality programs
Benefits and Salary
We attract the best people in the business with our competitive benefits package that includes medical, dental and vision coverage, 401k plan with employer contribution, paid holidays, vacation, and tuition reimbursement.
We offer a competitive salary commensurate with experience and location. The targeted range for this position is $135,000 - $205,000.
If you enjoy being a part of a high performing, professional service and technology focused organization, please apply today!

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