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Ai Ml Data Platform Engineer

  • Ai Ml Data Platform Engineer job type Posted on: Oct 15, 2026
  • Ai Ml Data Platform Engineer experience level Creative G C
  • Ai Ml Data Platform Engineer employment type Linthicum Heights, Maryland
  • Ai Ml Data Platform Engineer employment type Onsite
  • Ai Ml Data Platform Engineer salary Contract
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Job Title :

Ai Ml Data Platform Engineer

Job Type :

Contract

Job Location :

Linthicum Heights Maryland United States

Remote :

No

Jobcon Logo Job Description :

Job opportunity, Please find the details in the below mentioned JD. If you are interested, Please revert me back with your updated resume copy.
Job Details:
AI/ML Data Platform Engineer
Location: Linthicum Heights, MD
Work Arrangement: Onsite
Position Overview:
The AI/ML Data Platform Engineer will design, build, and maintain reusable data products, pipelines, APIs, and AI-enabled data services supporting state government analytics and AI/ML initiatives. The role focuses on data integration, real-time streaming, data quality, governance, feature engineering, and ML model integration.
Key Requirements:
  • 5+ years of experience in data engineering, software engineering, or ML engineering, including 2+ years in data product or data service design.
  • Bachelor's degree in Computer Science, Data Science, Engineering, or a related field; master's degree or PhD preferred.
  • Strong proficiency in Python and SQL.
  • Experience developing production-quality ETL/ELT pipelines.
  • Hands-on experience with AWS, Azure, or GCP data platforms, including Amazon Redshift, BigQuery, Snowflake, Databricks, or equivalent services.
  • Experience with Apache Kafka, AWS Kinesis, Google Pub/Sub, Azure Event Hubs, or equivalent streaming technologies.
  • Familiarity with Apache Airflow, dbt, Prefect, or similar orchestration tools.
  • Understanding of star and snowflake schemas, medallion architecture, and data vault.
  • Experience designing REST APIs and working with event-driven architectures.
  • Understanding of ML fundamentals, feature engineering, data manipulation, exploratory data analysis, model evaluation, and deployment.
  • Familiarity with PyTorch, TensorFlow, or scikit-learn.
  • Experience with data quality, pipeline monitoring, troubleshooting, and incident resolution.
  • Strong analytical, problem-solving, communication, and collaboration skills.
Preferred Experience:
  • Great Expectations, Soda, or dbt tests.
  • Apache Atlas, DataHub, or Collibra.
  • Feature stores such as Feast or Tecton.
  • Integrating ML model outputs into data pipelines and data products.
  • Terraform and infrastructure as code.
  • Government, public sector, or regulated data environments.
  • Data governance, privacy, and security requirements.

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Jobcon Logo Position Details

Posted:

Oct 15, 2026

Reference Number:

193-15791

Employment:

Contract

City:

Linthicum Heights

Job Origin:

CIEPAL_ORGANIC_FEED

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Job opportunity, Please find the details in the below mentioned JD. If you are interested, Please revert me back with your updated resume copy.
Job Details:
AI/ML Data Platform Engineer
Location: Linthicum Heights, MD
Work Arrangement: Onsite
Position Overview:
The AI/ML Data Platform Engineer will design, build, and maintain reusable data products, pipelines, APIs, and AI-enabled data services supporting state government analytics and AI/ML initiatives. The role focuses on data integration, real-time streaming, data quality, governance, feature engineering, and ML model integration.
Key Requirements:
  • 5+ years of experience in data engineering, software engineering, or ML engineering, including 2+ years in data product or data service design.
  • Bachelor's degree in Computer Science, Data Science, Engineering, or a related field; master's degree or PhD preferred.
  • Strong proficiency in Python and SQL.
  • Experience developing production-quality ETL/ELT pipelines.
  • Hands-on experience with AWS, Azure, or GCP data platforms, including Amazon Redshift, BigQuery, Snowflake, Databricks, or equivalent services.
  • Experience with Apache Kafka, AWS Kinesis, Google Pub/Sub, Azure Event Hubs, or equivalent streaming technologies.
  • Familiarity with Apache Airflow, dbt, Prefect, or similar orchestration tools.
  • Understanding of star and snowflake schemas, medallion architecture, and data vault.
  • Experience designing REST APIs and working with event-driven architectures.
  • Understanding of ML fundamentals, feature engineering, data manipulation, exploratory data analysis, model evaluation, and deployment.
  • Familiarity with PyTorch, TensorFlow, or scikit-learn.
  • Experience with data quality, pipeline monitoring, troubleshooting, and incident resolution.
  • Strong analytical, problem-solving, communication, and collaboration skills.
Preferred Experience:
  • Great Expectations, Soda, or dbt tests.
  • Apache Atlas, DataHub, or Collibra.
  • Feature stores such as Feast or Tecton.
  • Integrating ML model outputs into data pipelines and data products.
  • Terraform and infrastructure as code.
  • Government, public sector, or regulated data environments.
  • Data governance, privacy, and security requirements.

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