AI Solution Engineer- Ops

Pingwind
Huntsville +1 more
HybridCareer-pivot friendly

Who this role is best for

A natural match if you have experience with government data workflows and ML model deployment.

Best fit for

  • Candidates with 4+ years in data science or ML operations and experience in government programs
    — “Minimum of 4 years of experience in data science, analytics engineering, ML, operations, or AI”
  • Professionals adept at building data pipelines with Python, SQL, and orchestration tools
    — “Proficiency in Python, SQL, and data pipeline tools (Airflow, Spark, pandas, dbt, or equivalent)”
  • Individuals familiar with supply chain data and risk analytics in a federal context
    — “Experience with supply chain data, entity resolution, or risk analytics”

Things to consider

  • This role requires TS/SCI eligibility, a security clearance not commonly available to all candidates
    — “Required Clearance: TS/SCI Eligible”
  • The hybrid work model entails 3 days of in-office presence, which may be a constraint for some candidates
    — “Hybrid: 3 days of onsite/ 2 days remote”

How to stand out

  • Highlight experience with ETL/ELT and cloud-based ML monitoring in your resume and interview responses
    — “Experience with ETL/ELT processes, data transformation, and analytics production workflows across structured and semi-structured data sources”
  • Emphasize your ability to maintain auditable records and documentation in your application materials
    — “Strong documentation practices and ability to maintain auditable process records”
  • Showcase your skills with orchestration frameworks like Airflow or dbt in your technical portfolio
    — “Build and maintain data pipeline automation using Python, SQL, and orchestration frameworks (Airflow, Spark, dbt, or equivalent)”
Pace · SteadyCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • execute ETL pipelines
  • monitor ML model inference
  • build and maintain data pipelines
  • produce analytics outputs
  • participate in data quality validation
Typical background
data engineeringdata sciencemachine learning

Skills & requirements

Required

ETL PipelinesData IngestionML Model OperationsData Pipeline AutomationPythonSQLData TransformationAnalytics Production WorkflowsCloud Data PlatformsML Model Deployment

Preferred

Containerized DeploymentsPostgreSQLSnowflakeDockerKubernetes

Stack & domain

PythonSQLAirflowSparkdbtETLMLAWSAzurePostgreSQLSnowflakeData ScienceAnalytics EngineeringML OperationsAI

About the role

Original posting from Pingwind via Lever

Location: Huntsville, AL or Washington, DC

Required Clearance: TS/SCI Eligible

Required Education: HS/GED

Required Experience: Minimum of 4 years of experience in data science, analytics engineering, ML, operations, or AI

Hybrid: 3 days of onsite/ 2 days remote 

Position Description

This position supports the Golden Dome Supply Chain Enterprise program by executing analytics workflows, data ingestion pipelines, and machine learning model operations within the operations and implementation branch. The engineer works under the technical direction of an Exiger AI Solution Engineer lead, executing ETL processes, analytics production runs, and pipeline maintenance that feed the program's Red Team and Blue Team analytic constructs

Responsibilities

  • Execute ETL pipelines for supply chain data ingestion including customer technical data packages, transformation, and loading into the Exiger environment
  • Run and monitor ML model inference jobs, flagging anomalies and performance degradation to the lead
  • Build and maintain data pipeline automation using Python, SQL, and orchestration frameworks (Airflow, Spark, dbt, or equivalent)
  • Produce analytics outputs that feed Red Team vulnerability assessments and Blue Team mitigation planning
  • Participate in data quality validation workflows and contribute to confidence scoring documentation
  • Support iterative analytics configuration releases based on Government feedback cycles
  • Maintain pipeline documentation, run logs, and provenance records per program governance standards

Required Qualifications

  • Minimum 4 years of experience in data science, analytics engineering, ML operations, or AI
  • Proficiency in Python, SQL, and data pipeline tools (Airflow, Spark, pandas, dbt, or equivalent); working knowledge of relational and cloud data platforms (PostgreSQL, Snowflake, or equivalent)
  • Experience with ETL/ELT processes, data transformation, and analytics production workflows across structured and semi-structured data sources
  • Familiarity with ML model deployment and monitoring in cloud environments (AWS, Azure, or equivalent)
  • Experience working under technical oversight in an integrated government delivery team
  • Strong documentation practices and ability to maintain auditable process records

Desired Qualifications

  • Experience with ETL/ELT processes, data transformation, and analytics production workflows across structured and semi-structured data sources
  • Familiarity with ML model deployment and monitoring in cloud environments (AWS, Azure, or equivalent)
  • Experience working under technical oversight in an integrated government delivery team
  • Strong documentation practices and ability to maintain auditable process record
  • Experience with supply chain data, entity resolution, or risk analytics
  • Familiarity with government data handling requirements (CUI, NIST 800-171)
  • Experience with containerized deployments (Docker/Kubernetes)
  • Experience with PostgreSQL, Snowflake, or similar cloud data warehouse platforms in production analytics environments

About PingWind

PingWind is focused on delivering outstanding services to the federal government. We have extensive experience in the fields of cybersecurity, development, IT infrastructure, supply chain management and other professional services such as system design and continuous improvement. PingWind is an SBA certified Service-Disabled Veteran-Owned Small Business (SDVOSB) with offices in Northern Virginia and Huntsville AL.

www.PingWind.com

Our benefits include:

·       Eleven Federal Holidays

·       Paid Time Off accrued each pay period

·       Parental Leave

·       Three medical plan choices with generous employer contribution

·       Dental and Vision Insurance

·       Company paid Short-Term and Long-Term Disability

·       Company paid Life and AD&D Insurance

·       401k with competitive matching and vesting schedule 

·       Continuing education assistance

·       Short Term / Long Term Disability & Life Insurance

·       Medical, Dependent Care and Commuter Flexible Spending Accounts

·       Employee Assistance Program 

·       Wellness benefits include Calm Health app and WellHub gym subsidy (formerly GymPass)

·       529 College Savings Plan

·       Legal Insurance 

·       Pet Insurance

Salary Range

$121k-$169k

The pay range for this job is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) job responsibilities, education, certifications, experience, as well as internal equity mapping and alignment with market data, or other applicable laws.

Veterans are encouraged to apply

PingWind, Inc. does not discriminate in employment opportunities, terms, and conditions of employment, or practices on the basis of race, age, gender, religious or political beliefs, national origin or heritage, disability, sexual orientation, or any characteristic protected by law

Source: Pingwind careers (Lever)

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