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Ml Data Associate Jobs in Alabama (NOW HIRING)

vTech Solution

Data Quality Engineer

Montgomery, AL · On-site

$113K - $136K/yr

... ML data readiness and feature-store-aligned data structuring. (5-8 Years) * Cloud data engineering exposure (Azure, Databricks, GCP). (5-8 Years) * Master's degree preferred. * DAMA CDMP (Associate ...

Kronospan

AI/ML Engineer

Eastaboga, AL · On-site

Comfort working with sensor and scanner data * Experience with optimization techniques (linear ... associates, we offer numerous benefits and advantages: - Growth opportunities, domestic and ...

Pwc

Data Strategy-Manager

Birmingham, AL · On-site

$99K - $232K/yr

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML - Proven leadership in data-driven strategies - Experience in ...

Pwc

Data Governance- Manager

Birmingham, AL · On-site

$99K - $232K/yr

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary ...

Canvas

Associate Solutions Architect

Huntsville, AL · On-site

$62 - $81.75/hr

Title: Associate Solutions Architect - Business Development Join Canvas team and help shape the ... Data Analytics, AI/ML methodologies * Cybersecurity * Business Development & Proposal Skills

Trideum

Senior Cloud Data Engineer

Redstone Arsenal, AL

$57 - $76/hr

Azure Administrator Associate (AZ-104), Azure Data Engineer Associate (DP-203), or Azure Solutions ... Experience with machine learning operations (MLOps) and AI/ML pipeline development. * Advanced ...

Trideum

Senior Cloud Data Engineer

Redstone Arsenal, AL · On-site

$57 - $76/hr

Azure Administrator Associate (AZ-104), Azure Data Engineer Associate (DP-203), or Azure Solutions ... Experience with machine learning operations (MLOps) and AI/ML pipeline development. * Advanced ...

Trideum Corporation

Senior Cloud Data Engineer

Huntsville, AL · On-site

$58 - $77.50/hr

Azure Administrator Associate (AZ-104), Azure Data Engineer Associate (DP-203), or Azure Solutions ... Experience with machine learning operations (MLOps) and AI/ML pipeline development. * Advanced ...

Trideum Corporation

Senior Cloud Data Engineer

Huntsville, AL · On-site

$58 - $77.50/hr

Azure Administrator Associate (AZ-104), Azure Data Engineer Associate (DP-203), or Azure Solutions ... Experience with machine learning operations (MLOps) and AI/ML pipeline development. * Advanced ...

Amgen SA

Sr Machine Learning Engineer

Auburn, AL · On-site

$140 - $190/hr

Work closely with data scientists, engineers, and product teams to deliver ML solutions. * Stay ... Associate's degree and 8 years of Computer Science experience OR High school diploma / GED and 10 ...

IGNITE

ASSOCIATE THERMAL ENGINEER

Huntsville, AL · On-site

... AI/ML, space and missile defense intelligence, EMSO, advanced analytics, and programmatic domains ... test data to improve model accuracy and support verification and validation activities. • ...

Canvas

Associate Solutions Architect

Huntsville, AL · On-site

$62 - $81.75/hr

Title: Associate Solutions Architect - Business Development JoinCanvasteam and help shape the ... Data Analytics, AI/ML methodologies * Cybersecurity * Business Development & Proposal Skills

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All JobsMl Data Associate JobsMl Data Associate Jobs in Alabama

Ml Data Associate information

See Alabama salary details

$52.1K

$61.7K

$116.9K

How much do ml data associate jobs pay per year?

As of Aug 10, 2026, the average yearly pay for ml data associate in Alabama is $61,670.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,500.00 and $53,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an ml data associate?

To thrive as an ML Data Associate, you need strong analytical skills, attention to detail, and a solid understanding of data annotation or labeling, often supported by a degree in a technical field. Familiarity with data labeling tools, basic programming (such as Python), and experience working with machine learning platforms are typically required. Excellent communication, problem-solving abilities, and the capacity to work efficiently in teams are important soft skills. These skills ensure high-quality, accurately labeled datasets that are essential for training effective machine learning models.

What is an ml data associate?

ML Data Associates are professionals who support machine learning projects by preparing, labeling, and validating data used to train and evaluate algorithms. They often work with large datasets, ensuring data quality and accuracy, and may use specialized tools to annotate images, text, or audio. Their work is essential for enabling machine learning models to learn from high-quality, well-structured data, and they often collaborate with data scientists and engineers to optimize data pipelines.

What is the difference between Ml Data Associate vs Data Analyst?

AspectML Data AssociateData Analyst
Required CredentialsTypically a degree in computer science, data science, or related field; familiarity with machine learning conceptsUsually a degree in statistics, mathematics, or business analytics; strong Excel and data visualization skills
Work EnvironmentTech companies, AI startups, or organizations focusing on machine learning projectsBusiness, finance, marketing, and consulting firms analyzing data for insights
Employer & Industry UsageUsed in industries developing AI models, machine learning pipelines, and data infrastructureCommon across industries for reporting, trend analysis, and strategic decision-making

While both roles involve working with data, ML Data Associates focus on preparing and managing data specifically for machine learning models, whereas Data Analysts interpret data to generate business insights. The roles overlap in data handling skills but differ in their end goals and technical focus.

What are some common challenges faced by ml data associates when labeling complex datasets, and how can they be effectively addressed?

ML Data Associates often encounter challenges with ambiguous data, inconsistent labeling guidelines, or rapidly evolving project requirements. To address these, it's important to maintain open communication with data scientists and project leads, ask clarifying questions, and participate in regular calibration sessions to ensure consistency. Utilizing annotation tools efficiently and staying up-to-date with best practices can also help manage complexity and improve label quality. Collaboration and feedback within the team are key to overcoming these challenges and ensuring high-quality datasets.
What are popular job titles related to Ml Data Associate jobs in Alabama? For Ml Data Associate jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Ml Data Associate jobs in Alabama look for? The top searched job categories for Ml Data Associate jobs in Alabama are:
What cities in Alabama are hiring for Ml Data Associate jobs? Cities in Alabama with the most Ml Data Associate job openings:
Ml Data Associate jobs near you
Infographic showing various Ml Data Associate job openings in Alabama as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $61,670 per year, or $29.6 per hour.

Data Quality Engineer

vTech Solution

Montgomery, AL • On-site

$113K - $136K/yr

Contractor

Re-posted 14 days ago

Job description

Job Role : Data Quality Engineer
Duration : 03 months (Possibility of extension)
Location : Montgomery, AL - 36130 (Onsite)
Interview: Video or In person Based on Location

Job Description:
A Data Quality Engineer, strong data analyst with deep technical skills in SQL, Purview, Data Pipelines and Data Modeling, plus experience in cloud data environments, automated testing, and collaboration with analytics and engineering teams. Ensures data is not only clean but also ready to support advanced analytics and AI applications

Data Quality Engineer & Analytics Skills:

  • Core Technical Skills Must Be Able To Navigate An Environment With Low\No Data Maturity
  • Data Profiling & Cleansing: Analyze data to identify anomalies, duplicates, outliers, and missing values; apply cleansing techniques to improve data integrity.
  • SQL Proficiency: Write complex queries to validate data accuracy, perform transformations, and generate reports. (SSIS - ETL\ELT)
  • Python & Other Languages: Python is widely used for automation, data validation, and integration with analytics pipelines; SQL is essential for querying and reporting.
  • Data Modeling & Warehousing: Understand ETL/ELT processes, data warehouse/lake/lakehouse architectures, and data modeling principles.
  • Cloud & Modern Data Stack: Experience with cloud platforms (AWS, GCP, Azure), modern data warehouses (Snowflake, BigQuery), and tools like Spark, Kafka/Kinesis, Hadoop, or S3.
  • Data Testing & Observability: Design and deploy automated data testing at scale; use observability platforms for real-time monitoring.

Analytics & Data Science Skills:

  • Data Quality Standards & Metrics: Define and enforce data quality benchmarks; measure completeness, accuracy, timeliness, and consistency.
  • Root Cause Analysis: Identify why data issues occur (ETL bugs, user input errors, system failures) and implement fixes.
  • Collaboration with Data Scientists: Work with ML/data science teams to ensure training data is clean and reliable.
  • Statistical & Trend Analysis: Interpret patterns in large datasets to inform quality improvements.

Soft & Communication Skills:

  • Stakeholder Engagement: Gather requirements from business, engineering, and analytics teams; advocate for data quality across the organization.
  • Problem-Solving & Attention to Detail: Spot and resolve data issues efficiently; maintain high precision in validation.
  • Documentation: Record quality issues, processes, and improvements for transparency and compliance.

Tools & Platforms:

  • Query & Analysis: SQL, Python, Spark, Kafka/Kinesis, Hadoop, S3.
  • Data Quality Tools: Data profiling tools (MS Purview), validation scripts, observability platforms.
  • Collaboration: Jira, Snowflake, or other data governance platforms.

Required Skills

  • Strong experience working in low or immature data environments, establishing data quality processes from scratch (8-10 Years)
  • Advanced SQL expertise for complex querying, data validation, and transformation (8-10 Years)
  • Hands-on experience with ETL/ELT pipelines (e.g., SSIS or similar tools) (8-10 Years)
  • Proficiency in Python for data automation, validation, and pipeline integration (5-8 Years)
  • Experience with data profiling and cleansing (anomalies, duplicates, outliers, missing values) (8-10 Years)
  • Solid understanding of data modeling and data warehouse/lake/lakehouse architectures (8-10 Years)
  • Experience implementing data quality frameworks and metrics (accuracy, completeness, timeliness, consistency) (8-10 Years)
  • Experience with cloud data platforms (AWS, Azure, or GCP) and modern data warehouses (e.g., Snowflake, BigQuery) (5-8 Years)
  • Required Tools & Platforms: (8-10 Years) Query & Analysis: SQL, Python, Spark, Kafka/Kinesis, Hadoop, S3. Data Quality Tools: Data profiling tools (MS Purview), validation scripts, observability platforms. Collaboration: Jira, Snowflake, or other data governance platforms.
  • Bachelor's Degree

Preferred Skills

  • Knowledge of DAMA-DMBoK, DCAM, MDM concepts, and governance frameworks. (8-10 Years)
  • Experience with Microsoft Purview, Fabric, MS Power BI, and Key Vault (5-8 Years)
  • Familiarity with AI/ML data readiness and feature-store-aligned data structuring. (5-8 Years)
  • Cloud data engineering exposure (Azure, Databricks, GCP). (5-8 Years)
  • Master’s degree preferred.
  • DAMA CDMP (Associate/Practitioner) · EDM Council DCAM · ASQ Data Quality Credential · Collibra Data Steward Certification · Certified Data Steward (eLearningCurve) · Cloud/AI certifications (Azure, Databricks, Google)

vTech Solution Inc. is a Managed IT Services firm headquartered in Washington, DC. They specialize in a range of services including cloud computing, managed network security, and cybersecurity. Their primary focus is on providing human-centered IT solutions for government and business sectors, including federal, state, local, and education (SLED) groups, as well as commercial organizations.

vTech Solution offers services such as:

  • Managed Security Services: Implementing zero-trust security frameworks to prevent cyber threats in real-time.
  • Multi-cloud Management Services: Helping businesses digitally transform with smart cloud technologies.
  • Infrastructure Managed Services: Creating resilient and secure infrastructure management.
  • Professional Services: Providing expertise for mission-critical programs.
  • Productivity and Communications: Ensuring secure and confident business connectivity from anywhere
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About vTech Solution

Sourced by ZipRecruiter

vTech is a Managed IT Services firm based out of Washington DC with a primary focus on Cloud Computing and Managed Network Security.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Washington, DC, US

Year founded

2006

Social media

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